Triple
T687727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gatwick Airport |
E13320
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
LGW
LGW is the three-letter IATA airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
|
E85283
|
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: LGW | Statement: [Gatwick Airport, IATAcode, LGW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LGW Context triple: [Gatwick Airport, IATAcode, LGW]
-
A.
WDG
WDG is the abbreviated name for Wizards District Gaming, the NBA 2K League esports team affiliated with the Washington Wizards.
-
B.
GMC
GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
-
C.
GMC
GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
-
D.
JG 52
JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
-
E.
G-Wiz
G-Wiz is the costumed, wizard-themed mascot who entertains fans at Washington Wizards basketball games.
- 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: LGW Triple: [Gatwick Airport, IATAcode, LGW]
Generated description
LGW is the three-letter IATA airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LGW Target entity description: LGW is the three-letter IATA airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
-
A.
WDG
WDG is the abbreviated name for Wizards District Gaming, the NBA 2K League esports team affiliated with the Washington Wizards.
-
B.
GMC
GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
-
C.
GMC
GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
-
D.
JG 52
JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
-
E.
G-Wiz
G-Wiz is the costumed, wizard-themed mascot who entertains fans at Washington Wizards basketball games.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0953fb481909e1d4177ee191351 |
completed | March 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dca352248190a3e1b4e4c58a1e7f |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5dd2e39808190ab116593299a94f8 |
completed | March 2, 2026, 6:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5fe3bb2a08190a01ce2ed8b52ee4a |
completed | March 2, 2026, 9:16 p.m. |
Created at: March 1, 2026, 7:36 p.m.