Triple
T1769571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitchburg |
E38842
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lunenburg |
E1826
|
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: Lunenburg | Statement: [Fitchburg, locatedNear, Lunenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lunenburg Context triple: [Fitchburg, locatedNear, Lunenburg]
-
A.
Lunenburg
chosen
Lunenburg is a small town in north-central Massachusetts known for its residential character and proximity to commuter rail service into the Boston area.
-
B.
Lunenburg
Lunenburg is a historic coastal town in eastern Canada renowned for its colorful waterfront, shipbuilding heritage, and UNESCO World Heritage–listed Old Town.
-
C.
Yarmouth
Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
-
D.
Yarmouth
Yarmouth is a small historic port town and popular tourist destination on the western side of the Isle of Wight in England.
-
E.
Wolfville
Wolfville is a small town in Nova Scotia, Canada, known for its vibrant arts scene, wine industry, and role as the home of Acadia University.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa648eb9488190b1be2d2b6d259634 |
completed | March 6, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf4db1c48190a96f137db3e2f32c |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:31 p.m.