Triple
T3911513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Saint-Genis-Pouilly |
E87330
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Crozet |
E341370
|
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: Crozet | Statement: [Canton of Saint-Genis-Pouilly, contains, Crozet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crozet Context triple: [Canton of Saint-Genis-Pouilly, contains, Crozet]
-
A.
Crozet
chosen
Crozet is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
-
B.
Cresson
Cresson is a French surname most notably borne by Édith Cresson, who served as France’s first female prime minister.
-
C.
Gretna
Gretna is a small Scottish town near the England–Scotland border, historically famous as a destination for runaway weddings.
-
D.
Mebanesville
Mebanesville was the original name of the city now known as Mebane in North Carolina.
-
E.
Florenville
Florenville is a picturesque town in southern Belgium’s Wallonia region, known for its scenic setting along the Semois River and surrounding Ardennes landscapes.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed35e2d081908b5d87c7630e7ffc |
completed | March 9, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51cb454c48190bf47d080f6cc24f0 |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:22 p.m.