Triple
T12647491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acushnet River |
E302065
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Fairhaven |
E213852
|
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: Fairhaven | Statement: [Acushnet River, hasNearbyTown, Fairhaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairhaven Context triple: [Acushnet River, hasNearbyTown, Fairhaven]
-
A.
Fairhaven
chosen
Fairhaven is a historic coastal town in southeastern Massachusetts known for its picturesque harbor, rich maritime heritage, and well-preserved 19th-century architecture.
-
B.
Fairhaven
Fairhaven is a small coastal community located on Deer Island in New Brunswick, Canada.
-
C.
Wareham
Wareham is a historic market town in southern England situated on the River Frome, known as a gateway to the Isle of Purbeck and the Jurassic Coast.
-
D.
Wereham
Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
-
E.
Cotuit
Cotuit is a seaside village on Cape Cod in the town of Barnstable, Massachusetts, known for its historic character and shellfishing 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614cefdc81908cfc4a4d04aa6eda |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f746077b288190b8ca7927352a7904 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 5:17 p.m.