Triple
T18467735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gex canton |
E451207
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Grilly |
—
|
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: Grilly | Statement: [Gex canton, contains, Grilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grilly Context triple: [Gex canton, contains, Grilly]
-
A.
Grilly
chosen
Grilly is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
-
B.
Grillen
"Grillen" is one of the characterful, introspective piano pieces from Robert Schumann’s Fantasiestücke, Op. 12, reflecting his Romantic, fantasy-driven style.
-
C.
Griller
Griller is an EP by the punk rock band The Frustrators, known for its energetic, humorous take on pop-punk.
-
D.
Grill
Grill is a surname of Germanic origin borne by various individuals, including the Austrian actress Isabelle Grill.
-
E.
Le Grill
Le Grill is a renowned fine-dining restaurant atop the Hôtel de Paris Monte-Carlo, celebrated for its panoramic views over Monaco and its refined Mediterranean cuisine.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a8459f88190a54cae4c8cb05119 |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:34 a.m.