Triple
T11110353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stavelot |
E262737
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Pont-Évêque |
E476619
|
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: Pont-Évêque | Statement: [Stavelot, hasTwinTown, Pont-Évêque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pont-Évêque Context triple: [Stavelot, hasTwinTown, Pont-Évêque]
-
A.
Pont-l’Évêque
chosen
Pont-l’Évêque is a small historic town in Normandy, France, best known for giving its name to the traditional soft cow’s milk cheese Pont-l’Évêque.
-
B.
Pont-Saint-Martin
Pont-Saint-Martin is a small town in Italy’s Aosta Valley, known as a historic gateway to the region and for its ancient Roman bridge.
-
C.
Trois-Ponts
Trois-Ponts is a small municipality in the province of Liège in Wallonia, Belgium, known for its scenic Ardennes landscape and railway junction.
-
D.
Havre-aux-Maisons
Havre-aux-Maisons is a small coastal community located on one of Quebec’s Magdalen Islands in the Gulf of St. Lawrence, known for its fishing heritage and scenic maritime landscapes.
-
E.
Orléans-Longueville
Orléans-Longueville was a prominent French noble house that held significant titles and influence from the late Middle Ages through the early modern period.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a6964508190b679303d3b3a4fd6 |
completed | April 9, 2026, 12:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d759bc88190b670c373f3647a41 |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.