Triple
T21759413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Avalanche |
E537124
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Pittsfield |
—
|
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: Pittsfield | Statement: [The Avalanche, hasPart, Pittsfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pittsfield Context triple: [The Avalanche, hasPart, Pittsfield]
-
A.
Pittsfield
chosen
Pittsfield is a small town located within Otsego County in the central region of New York State.
-
B.
Pittsfield, Massachusetts
Pittsfield, Massachusetts is a small city in western Massachusetts that serves as a cultural and economic hub within the scenic Berkshire region.
-
C.
Fitchburg
Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
-
D.
Willimansett
Willimansett is a residential neighborhood and village within the city of Chicopee in western Massachusetts, located along the Connecticut River.
-
E.
Watertown
Watertown is a principal city in northeastern South Dakota known as a regional commercial center and home to Lake Kampeska and the Redlin Art Center.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d90eaa081909fce0549a9df1bf0 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.