Triple
T21613299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roche |
E533363
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | La Roche |
—
|
NE NERFINISHED |
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: La Roche | Statement: [Roche, hasVariant, La Roche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Roche Context triple: [Roche, hasVariant, La Roche]
-
A.
La Roche
chosen
La Roche is a shortened reference to the Swiss healthcare company F. Hoffmann-La Roche AG, a major global pharmaceutical and diagnostics firm.
-
B.
La Roche
La Roche is a locality or hamlet within the commune of Valdeblore in the Alpes-Maritimes department of southeastern France.
-
C.
La Roche
La Roche is a central fictional character in the work "Capriccio," around whom much of the story’s drama and development revolve.
-
D.
Lacotte
Lacotte is a French surname most notably associated with Pierre Lacotte, a renowned ballet dancer, choreographer, and director known for reviving 19th-century ballets.
-
E.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba8d7cc8190a59706896a4c073a |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:33 p.m.