Triple
T16510145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 2 (O'Hare) |
E401038
|
entity |
| Predicate | hasConcourse |
P1656
|
FINISHED |
| Object | Concourse E |
E408138
|
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 E | Statement: [Terminal 2 (O'Hare), hasConcourse, Concourse E]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Concourse E Context triple: [Terminal 2 (O'Hare), hasConcourse, Concourse E]
-
A.
Concourse E
Concourse E is a passenger terminal concourse at Harry Reid International Airport in Las Vegas, Nevada, serving various domestic and international airline operations.
-
B.
Concourse E
chosen
Concourse E is one of the passenger concourses in Chicago O'Hare International Airport’s Terminal 2, serving various regional and domestic flights.
-
C.
Concourse E
Concourse E is an international airport terminal area that serves as a primary hub for handling overseas flights and related passenger services.
-
D.
Concourse E
Concourse E is one of the passenger terminal concourses at Portland International Airport, serving airline gates and related airport facilities.
-
E.
Concourse E
Concourse E is a regional jet concourse at Charlotte Douglas International Airport that primarily serves short-haul and commuter 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e54f7508190804bbae4c9bc8fe3 |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00758bc924819099f29d01bd8a02a0 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:14 a.m.