Triple
T13945701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flint Generals |
E335377
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Flint |
E10580
|
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: Flint | Statement: [Flint Generals, city, Flint]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flint Context triple: [Flint Generals, city, Flint]
-
A.
Flint
Flint is a prominent G.I. Joe team leader and warrant officer known for his tactical expertise and central role in the G.I. Joe franchise.
-
B.
Flint
Flint is a surname of English origin borne by various notable individuals, including musician Keith Flint of The Prodigy.
-
C.
Flint
Flint is a historic market town in northeast Wales, known for its medieval Flint Castle overlooking the River Dee.
-
D.
Flint
Flint is a hard, sedimentary cryptocrystalline form of quartz historically used for tools, weapons, and fire-starting due to its ability to produce sharp edges and sparks.
-
E.
Flint, Michigan
chosen
Flint, Michigan is an industrial city in the United States best known as the birthplace of General Motors and for its central role in the American automotive industry.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e10f60c81908ee9636e85c070ff |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192b5e508190b2d385657f9e358f |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:17 p.m.