Triple
T3562106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valladolid Airport |
E75361
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
LEVD
LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
|
E369131
|
NE FINISHED |
How this triple was built (4 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: LEVD | Statement: [Valladolid Airport, ICAOcode, LEVD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEVD Context triple: [Valladolid Airport, ICAOcode, LEVD]
-
A.
LEMD
LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
-
B.
Levy
Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
-
C.
lev
The lev is the official national currency of Bulgaria, used for everyday transactions and financial operations throughout the country.
-
D.
LEW
LEW is the IATA airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
-
E.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
- 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: LEVD Triple: [Valladolid Airport, ICAOcode, LEVD]
Generated description
LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LEVD Target entity description: LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
-
A.
LEMD
LEMD is the ICAO airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
-
B.
Levy
Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
-
C.
lev
The lev is the official national currency of Bulgaria, used for everyday transactions and financial operations throughout the country.
-
D.
LEW
LEW is the IATA airport code for Auburn/Lewiston Municipal Airport in Maine, United States.
-
E.
VELO
VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
- F. None of above. chosen
Provenance (5 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc08bdde88190915d2f6ddf26e00e |
completed | March 8, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bba21960819094676de7c4740fd9 |
completed | March 13, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69b3bf69741481909e3d5ed71bb0e026 |
completed | March 13, 2026, 7:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3f299cfd08190948e602e8efab213 |
completed | March 13, 2026, 11:18 a.m. |
Created at: March 8, 2026, 3:21 p.m.