Triple
T1687095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daemen University |
E36466
|
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: [Daemen University, city, Amherst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amherst Context triple: [Daemen University, city, Amherst]
-
A.
Amherst
Amherst is an English surname historically associated with the British aristocratic Amherst family, including military commander Jeffery Amherst, 1st Baron Amherst.
-
B.
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.
-
C.
Amherst, New Hampshire
Amherst, New Hampshire is a historic small town in southern New Hampshire known for its classic New England village green, preserved colonial architecture, and residential character.
-
D.
Wellesley
Wellesley is an Anglo-Irish aristocratic family name most famously borne by Arthur Wellesley, the 1st Duke of Wellington, the British military leader who defeated Napoleon at Waterloo.
-
E.
Andover
Andover is a town in Hampshire, England, known in part for its role as a major administrative and logistical center for the British Army.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6293c368819094ab0f615e418647 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae303cdce081909b66ec04de43cf53 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:29 p.m.