Triple
T12844335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concourse C2 |
E307132
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Terminal C |
E383344
|
NE FINISHED |
How this triple was built (2 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: Terminal C | Statement: [Concourse C2, partOf, Terminal C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal C Context triple: [Concourse C2, partOf, Terminal C]
-
A.
Terminal C
Terminal C is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving as a hub for various international and domestic flights.
-
B.
Terminal C
Terminal C is one of the passenger terminals at Ministro Pistarini International Airport (Ezeiza), serving as a key facility for airline operations and traveler services.
-
C.
Terminal C
Terminal C is one of the passenger terminals at General Mariano Escobedo International Airport in Monterrey, Mexico, serving commercial airline operations and traveler services.
-
D.
Terminal C
chosen
Terminal C is one of the main passenger terminals at George Bush Intercontinental Airport in Houston, primarily serving domestic flights and major U.S. carriers.
-
E.
Terminal C
Terminal C is one of the passenger terminals at Düsseldorf Airport in Germany, serving various airlines and flights with check-in, security, and boarding facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff3a7208190b93f6292ed5efc07 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b9fa40c8190bbc2c6ad22795de4 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:36 p.m.