Triple
T4771559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barr |
E105937
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Barre |
E224357
|
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: Barre | Statement: [Barr, hasVariant, Barre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barre Context triple: [Barr, hasVariant, Barre]
-
A.
Barre
chosen
Barre is a French surname borne by various notable figures, including artists, politicians, and scientists.
-
B.
Barre, Vermont
Barre, Vermont is a small city in central Vermont known historically for its granite quarries and stonecutting industry.
-
C.
Burlington
Burlington is a mid-sized city in southern Ontario, Canada, located on the shores of Lake Ontario between Toronto and Hamilton.
-
D.
Burlington
Burlington is a small city in northwestern Washington State known as a commercial hub for the surrounding Skagit Valley region.
-
E.
Burlington
Burlington is a small, primarily residential town in central Connecticut known for its rural character and access to outdoor recreation areas.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd655e5dcc8190a932be9b1baaffb2 |
completed | March 20, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a94e340819080fe92a2024abdaf |
completed | March 21, 2026, 6:28 a.m. |
Created at: March 20, 2026, 1:21 p.m.