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.