Triple
T12150313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erving, Massachusetts |
E289434
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Millers River |
E475841
|
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: Millers River | Statement: [Erving, Massachusetts, locatedOn, Millers River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millers River Context triple: [Erving, Massachusetts, locatedOn, Millers River]
-
A.
Millers River
chosen
Millers River is a tributary in north-central Massachusetts that flows westward to join the Connecticut River, draining a largely rural and forested watershed.
-
B.
Pequabuck River
The Pequabuck River is a small river in central Connecticut that flows through communities such as Bristol before joining the Farmington River.
-
C.
Still River
Still River is a small tributary in western Connecticut that flows through the city of Danbury before joining the Housatonic River.
-
D.
Mills River
Mills River is a town and waterway in western North Carolina known for its scenic setting in the Blue Ridge Mountains and its role in the region’s outdoor recreation and craft beverage industries.
-
E.
Waters River
Waters River is a small waterway in Massachusetts that flows through the town of Danvers.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ad6ef08190b334a97d6ab41487 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb02b55f4819098f2b18fcf17ef0e |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 8, 2026, 9:49 p.m.