Triple
T17290819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 1 (O'Hare) |
E419778
|
entity |
| Predicate | hasConcourse |
P1656
|
FINISHED |
| Object | Concourse C |
E1217984
|
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: Concourse C | Statement: [Terminal 1 (O'Hare), hasConcourse, Concourse C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Concourse C Context triple: [Terminal 1 (O'Hare), hasConcourse, Concourse C]
-
A.
Concourse C
Concourse C is one of the passenger terminal concourses at Chicago Midway International Airport, serving various airline gates and amenities for travelers.
-
B.
Concourse C
Concourse C is one of the main passenger terminal areas at Portland International Airport, housing multiple airline gates and traveler amenities.
-
C.
Concourse C
Concourse C is one of the passenger terminal concourses at Hartsfield–Jackson Atlanta International Airport, serving numerous domestic airline gates and amenities.
-
D.
Concourse C
Concourse C is one of the passenger terminal concourses at Seattle–Tacoma International Airport, serving various domestic airline gates and amenities.
-
E.
Concourse C
chosen
Concourse C is one of the passenger gate areas within Terminal 1 at Chicago O'Hare International Airport, serving various domestic and international flights.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437837d048190949b947f5437636d |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180d49ff08190bd73245adfb86760 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:40 a.m.