Triple
T626497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amherst College |
E15829
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Amherst |
E25328
|
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: Amherst | Statement: [Amherst College, city, Amherst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amherst Context triple: [Amherst College, city, Amherst]
-
A.
Amherst, Massachusetts
chosen
Amherst, Massachusetts is a New England college town best known as the home of the University of Massachusetts Amherst and Amherst College.
-
B.
Wellesley, Massachusetts
Wellesley, Massachusetts is an affluent suburban town west of Boston known for its highly ranked public schools and as the home of Wellesley College.
-
C.
Belmont, Massachusetts
Belmont, Massachusetts is a suburban town just west of Boston known for its residential character, strong public schools, and role as part of the Greater Boston metropolitan area.
-
D.
Amherst College
Amherst College is a highly selective private liberal arts college in Amherst, Massachusetts, known for its rigorous academics and open curriculum.
-
E.
Belmont
Belmont is a city on the San Francisco Peninsula in California, known for its suburban character, hilly terrain, and proximity to major Bay Area tech and transportation hubs.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e587c448190987943a6aad209d1 |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c000b64c819091140b7c3718acf6 |
completed | March 4, 2026, 5:15 a.m. |
Created at: March 1, 2026, 7:35 p.m.