Triple
T6691800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hickory Regional Airport |
E152644
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hickory |
E27483
|
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: Hickory | Statement: [Hickory Regional Airport, locatedIn, Hickory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hickory Context triple: [Hickory Regional Airport, locatedIn, Hickory]
-
A.
Hickory, North Carolina
chosen
Hickory, North Carolina is a mid-sized city in the western Piedmont region known historically for its furniture manufacturing and diversified manufacturing economy.
-
B.
Woodfin
Woodfin is the surname of Randall Woodfin, an American politician and mayor of Birmingham, Alabama.
-
C.
Greenwood
Greenwood is a residential neighborhood within the city of Wakefield in Middlesex County, Massachusetts.
-
D.
Greenwood
Greenwood is a common English surname borne by numerous notable individuals across fields such as music, sports, and politics.
-
E.
Greenwood
Greenwood is a residential neighborhood within the town of Bicester in Oxfordshire, England.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b193a8c08190a99152a8eca018e6 |
completed | March 27, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70af2ede08190821fd599a3bfc879 |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 27, 2026, 2:05 p.m.