Triple
T20811263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ettlingen |
E512308
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Givry |
E289276
|
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: Givry | Statement: [Ettlingen, twinnedWith, Givry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Givry Context triple: [Ettlingen, twinnedWith, Givry]
-
A.
Givry
chosen
Givry is a Burgundy wine appellation in eastern France, noted for its predominantly Pinot Noir red wines with a reputation for good value and quality.
-
B.
Gagny
Gagny is a suburban commune in the eastern outskirts of Paris, France, known primarily as a residential town within the Seine-Saint-Denis department.
-
C.
Chauvigny
Chauvigny is a historic town in western France known for its medieval fortifications and picturesque setting in the Vienne department of the Nouvelle-Aquitaine region.
-
D.
Juvigny
Juvigny is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
E.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d338ac819096d4a33de831609e |
completed | April 21, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abc87cab08190b9a5457ba9868784 |
completed | May 18, 2026, 7:15 a.m. |
Created at: April 16, 2026, 12:40 p.m.