Triple
T797928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkshire County |
E17062
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Pittsfield |
E154105
|
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: Pittsfield | Statement: [Berkshire County, containsCity, Pittsfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pittsfield Context triple: [Berkshire County, containsCity, Pittsfield]
-
A.
Pittsfield, Massachusetts
chosen
Pittsfield, Massachusetts is a small city in western Massachusetts that serves as a cultural and economic hub within the scenic Berkshire region.
-
B.
Fitchburg
Fitchburg is a small city in north-central Massachusetts known for its industrial history, hilly terrain, and role as a regional rail hub.
-
C.
Grafton
Grafton is a regional city in northern New South Wales, Australia, known for its historic architecture and annual Jacaranda Festival.
-
D.
Grafton
Grafton is a small rural village located within the district of West Oxfordshire in England.
-
E.
Leominster
Leominster is a historic market town in Herefordshire, England, known for its medieval architecture and agricultural heritage.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b342888190a344fe81a2c9f33c |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44eb4706c8190870d99abc140973d |
completed | March 13, 2026, 5:51 p.m. |
Created at: March 1, 2026, 7:38 p.m.