Triple
T10550371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stonehill College |
E248930
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Easton |
E160236
|
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: Easton | Statement: [Stonehill College, city, Easton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easton Context triple: [Stonehill College, city, Easton]
-
A.
Easton
Easton is a village on the Isle of Portland in Dorset, England, known for its historic stone buildings and coastal setting.
-
B.
Easton
chosen
Easton is a suburban town in southeastern Massachusetts known for its historic architecture, residential character, and proximity to the Greater Boston area.
-
C.
Easton
Easton is a Scottish surname most prominently associated with Grammy-winning pop singer Sheena Easton.
-
D.
Easton
Easton is a small, affluent residential town in Fairfield County, southwestern Connecticut, known for its rural character, reservoirs, and extensive open space.
-
E.
Easton, Pennsylvania
Easton, Pennsylvania is a small city in eastern Pennsylvania situated at the confluence of the Delaware and Lehigh Rivers, known for its historic downtown and role as a regional cultural and economic center.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d4c4048190a104d6e088f565b3 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b3148dc81908720c27e58a325ab |
completed | April 10, 2026, 7:10 p.m. |
Created at: April 6, 2026, 12:34 p.m.