Triple
T12647490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acushnet River |
E302065
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Acushnet |
E155450
|
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: Acushnet | Statement: [Acushnet River, hasNearbyTown, Acushnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acushnet Context triple: [Acushnet River, hasNearbyTown, Acushnet]
-
A.
Acushnet, Massachusetts
chosen
Acushnet, Massachusetts is a small town in Bristol County known for its rural character and proximity to the city of New Bedford.
-
B.
Apthorp
Apthorp is a surname of English origin historically associated with a prominent New England mercantile and clerical family in colonial America.
-
C.
Hyannisport Club
Hyannisport Club is a historic private golf club in the seaside village of Hyannis Port, Massachusetts, known for its scenic coastal course and long association with the Kennedy family.
-
D.
Westport
Westport is a small coastal town on the West Coast of New Zealand’s South Island, known historically for coal mining and its proximity to rugged natural landscapes.
-
E.
Westport
Westport is a town in Dane County, Wisconsin, known for its suburban-rural character near the Madison metropolitan area.
- 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_69f67c730b5c8190ae8dbb476e53729e |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:17 p.m.