Triple
T15505496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée du Tarn |
E379069
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Saint-Enimie |
E998768
|
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: Saint-Enimie | Statement: [Vallée du Tarn, hasVillage, Saint-Enimie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Enimie Context triple: [Vallée du Tarn, hasVillage, Saint-Enimie]
-
A.
Sainte-Enimie
chosen
Sainte-Enimie is a picturesque medieval village in southern France, renowned for its historic stone architecture and dramatic setting along the Tarn River.
-
B.
Belval
Belval is a modern urban district in Esch-sur-Alzette, Luxembourg, known for its transformation from a former steelworks site into a major cultural, educational, and business hub.
-
C.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
D.
Carquefou
Carquefou is a commune in western France, situated near Nantes and known for its residential character and economic activity.
-
E.
Magnicourt
Magnicourt is a small French commune located in the Aube department in the Grand Est region of northeastern France.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcd5d948190b25a67a72ef980e9 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6780ee3081908a0a833d887b1829 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 3:55 a.m.