Triple
T10636247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bryant University |
E250587
|
entity |
| Predicate | accreditation |
P117
|
FINISHED |
| Object | NECHE |
E78192
|
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: NECHE | Statement: [Bryant University, accreditation, NECHE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NECHE Context triple: [Bryant University, accreditation, NECHE]
-
A.
NECHE
chosen
NECHE (New England Commission of Higher Education) is a regional accrediting agency that evaluates and certifies the quality and standards of colleges and universities in the New England region of the United States.
-
B.
Neshann
Neshann is a music producer known for creating and arranging tracks, often working behind the scenes to shape the sound and direction of recorded songs.
-
C.
Cochecho
Cochecho was the original colonial settlement and early name for what later became the city of Dover, New Hampshire.
-
D.
Nehase
Nehase is the twelfth month of the Ethiopian calendar, corresponding roughly to August in the Gregorian calendar.
-
E.
Nese
Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfad9dbc81909a4f78d93ecfaa20 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bc57a8081908abd73f4273d0666 |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:04 p.m.