Triple
T11133604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Concourse |
E263350
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object | Concourse |
E63234
|
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 | Statement: [Grand Concourse, neighborhood, Concourse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Concourse Context triple: [Grand Concourse, neighborhood, Concourse]
-
A.
Concourse
chosen
Concourse is a neighborhood in the South Bronx of New York City, known for its proximity to Yankee Stadium and the Grand Concourse boulevard.
-
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 concourses at Memphis International Airport, serving as a boarding area with multiple gates and amenities for travelers.
-
D.
Concourse C
Concourse C is one of the passenger terminal concourses at Cleveland Hopkins International Airport, serving as a boarding area for multiple airline gates and flights.
-
E.
Concourse C
Concourse C is one of the passenger boarding areas within Terminal 1 at Fort Lauderdale–Hollywood International Airport, serving multiple airline gates and amenities.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8347a248190837e8c26f25f553a |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e441f00d7c8190a8fe8e0c1169e6b0 |
completed | April 19, 2026, 2:46 a.m. |
Created at: April 8, 2026, 9:28 p.m.