Triple
T22246084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keene State College |
E549844
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Keene |
—
|
NE NERFINISHED |
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: Keene | Statement: [Keene State College, city, Keene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keene Context triple: [Keene State College, city, Keene]
-
A.
Keene
Keene is a small unincorporated community in Kern County, California, historically associated with the United Farm Workers and labor leader César Chávez.
-
B.
Keene
Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
-
C.
Keene
chosen
Keene is a small city in southwestern New Hampshire, United States, known for its historic downtown, Keene State College, and annual pumpkin festival.
-
D.
Keene, New York
Keene, New York is a small town in the Adirondack Mountains known for its scenic wilderness, hiking trails, and outdoor recreation opportunities.
-
E.
Newfane
Newfane is a small historic town in southeastern Vermont that serves as the county seat of Windham County.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13217c9f88190aa2ce7d644b57739 |
completed | April 28, 2026, 10:18 p.m. |
Created at: April 16, 2026, 8:38 p.m.