Triple
T13255297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelkheim |
E315641
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Saint-Fons |
E488123
|
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-Fons | Statement: [Kelkheim, hasTwinTown, Saint-Fons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Fons Context triple: [Kelkheim, hasTwinTown, Saint-Fons]
-
A.
Saint-Fons
chosen
Saint-Fons is a suburban commune in eastern France located just southeast of central Lyon within its metropolitan area.
-
B.
Saint-Floret
Saint-Floret is a small commune in central France’s Puy-de-Dôme department, known for its medieval heritage and picturesque setting in the Auvergne region.
-
C.
Saint-Paul-de-Fenouillet
Saint-Paul-de-Fenouillet is a small commune in the Pyrénées-Orientales department of southern France, known for its scenic setting in the Agly valley and proximity to the rugged Fenouillèdes hills.
-
D.
Fremault
Fremault is the surname of American film and television actress Anita Louise.
-
E.
Bourg-Saint-Pierre
Bourg-Saint-Pierre is a small Swiss village in the canton of Valais, known as a historic stop on the Great St. Bernard Pass near the Italian border.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7517048190b4eac4e44e81ff66 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f1a305081908bd2be2f5276c91f |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:24 p.m.