Triple
T8666393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burin Peninsula |
E205683
|
entity |
| Predicate | nearbyIslands |
P19482
|
FINISHED |
| Object | Langlade |
E515700
|
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: Langlade | Statement: [Burin Peninsula, nearbyIslands, Langlade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langlade Context triple: [Burin Peninsula, nearbyIslands, Langlade]
-
A.
Langlade
chosen
Langlade is a small settlement on the island of Miquelon-Langlade in the French overseas collectivity of Saint Pierre and Miquelon in the North Atlantic.
-
B.
Durkee
Durkee is a small historic unincorporated community in Baker County, Oregon, that developed as a stage stop and later a railroad and highway point along key transportation routes.
-
C.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
D.
Vilas
Vilas is the surname of Guillermo Vilas, the legendary Argentine tennis player renowned for his clay-court dominance in the 1970s.
-
E.
Otsego
Otsego is a small city in southwestern Michigan known historically for its paper mills and location along the Kalamazoo River.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a1dd1481908c56abca48fcd562 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd1592788190a882fb7218f95807 |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:31 p.m.