Triple
T16820792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concord-Padgett Regional Airport |
E408883
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | City of Concord |
E1242375
|
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: City of Concord | Statement: [Concord-Padgett Regional Airport, operator, City of Concord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Concord Context triple: [Concord-Padgett Regional Airport, operator, City of Concord]
-
A.
City of Concord
The City of Concord is a municipality in Contra Costa County, California, known as a major suburban community in the San Francisco Bay Area.
-
B.
City of Concord
chosen
The City of Concord is a municipal government in North Carolina responsible for providing local services, infrastructure, and administration for its residents.
-
C.
Concord
Concord is a suburban city in California’s East Bay region known as a residential and commercial hub within the greater San Francisco Bay Area.
-
D.
Concord
Concord is a suburban neighbourhood within the city of Vaughan in Ontario, Canada, known for its mix of industrial, commercial, and residential areas.
-
E.
Concord
Concord is a suburb in Sydney, Australia, known for its residential character, parks, and proximity to the Parramatta River.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e6b59c8190ad562a80e71ce54c |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dbfb781881908f4d56f523e78f7a |
completed | May 10, 2026, 7:26 p.m. |
Created at: April 10, 2026, 5:23 a.m.