Triple
T21985973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Le Sancy |
E542961
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cros |
—
|
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: Cros | Statement: [canton of Le Sancy, contains, Cros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cros Context triple: [canton of Le Sancy, contains, Cros]
-
A.
Cros
chosen
Cros is a French surname most notably associated with Charles Cros, a 19th-century poet and inventor linked to early sound recording and color photography experiments.
-
B.
Croz
Croz is a French surname most notably associated with Michel Croz, a pioneering 19th-century mountain guide and early Alpine climber.
-
C.
Krosp
Krosp is a talking, genetically engineered cat and would-be Emperor of All Cats from the steampunk webcomic series "Girl Genius."
-
D.
Stockcross
Stockcross is a small village in Berkshire, England, known for its rural character and proximity to the town of Newbury.
-
E.
Kors
Kors is the surname of American fashion designer Michael Kors, known for his eponymous luxury brand.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12709cb288190a2620e337fea364c |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:04 p.m.