Triple
T6401048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Qingdao |
E144062
|
entity |
| Predicate | portCodeLOCODE |
P70426
|
FINISHED |
| Object |
TAO
TAO is the UN/LOCODE designation for the major Chinese seaport of Qingdao, a key hub for international maritime trade.
|
E589982
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: TAO | Statement: [Port of Qingdao, portCodeLOCODE, TAO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAO Context triple: [Port of Qingdao, portCodeLOCODE, TAO]
-
A.
TAO
TAO is the ICAO airline designator assigned to Aeromar, a regional airline based in Mexico.
-
B.
TAU
TAU is a major public research university located in Tel Aviv, Israel, known for its strong programs across science, engineering, humanities, and the arts.
-
C.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
D.
TAI
TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
-
E.
TAE
TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TAO Triple: [Port of Qingdao, portCodeLOCODE, TAO]
Generated description
TAO is the UN/LOCODE designation for the major Chinese seaport of Qingdao, a key hub for international maritime trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TAO Target entity description: TAO is the UN/LOCODE designation for the major Chinese seaport of Qingdao, a key hub for international maritime trade.
-
A.
TAO
TAO is the ICAO airline designator assigned to Aeromar, a regional airline based in Mexico.
-
B.
TAU
TAU is a major public research university located in Tel Aviv, Israel, known for its strong programs across science, engineering, humanities, and the arts.
-
C.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
D.
TAI
TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
-
E.
TAE
TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portCodeLOCODE Context triple: [Port of Qingdao, portCodeLOCODE, TAO]
-
A.
isPortOfCallFor
Indicates that a location serves as a scheduled stop or destination for a ship, vehicle, or journey.
-
B.
isHomePortOf
Indicates that a particular location serves as the primary base or port where a vessel or fleet is officially registered, stationed, or regularly returns.
-
C.
lastEuropeanPortOfCall
Indicates the final European port at which a vessel or traveler stopped before departing for a non-European destination.
-
D.
postalName
Indicates the standardized name or label used for addressing and postal purposes associated with an entity.
-
E.
portOfRegistryFor
Indicates that one entity serves as the official port where another entity (typically a vessel) is registered.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0689ae99881909ba427769fd317ae |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638a37f8c8190a052eeb202b35df3 |
completed | March 27, 2026, 7:58 a.m. |
| NEDg | Description generation | batch_69c639eabaf88190bf81112cde6e8e99 |
completed | March 27, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a8738ac8190af0bface4b18eea6 |
completed | March 27, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69c060f25c088190b433f78553ff1d84 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:35 p.m.