Triple
T19677176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontcharra |
E472482
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Pontcharrains |
—
|
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: Pontcharrains | Statement: [Pontcharra, hasDemonym, Pontcharrains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pontcharrains Context triple: [Pontcharra, hasDemonym, Pontcharrains]
-
A.
Pontcharrains
chosen
Pontcharrains are the inhabitants or natives of the French commune of Pontcharra, located in the Isère department in southeastern France.
-
B.
Boucicaut
Boucicaut is a station on the Paris Métro serving the 15th arrondissement of Paris.
-
C.
Chardon-Lagache
Chardon-Lagache is a Paris Métro station in the 16th arrondissement, serving the Auteuil area on Line 10.
-
D.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
E.
Baruchel
Baruchel is the surname of Canadian actor, comedian, and filmmaker Jay Baruchel, known for roles in films like "How to Train Your Dragon" and "This Is the End."
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641bceef881909c5b655af709c8c6 |
completed | April 20, 2026, 3:09 p.m. |
Created at: April 10, 2026, 1:45 p.m.