Triple
T17252632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bietigheim-Bissingen |
E418793
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Sablé-sur-Sarthe |
E345875
|
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: Sablé-sur-Sarthe | Statement: [Bietigheim-Bissingen, hasTwinTown, Sablé-sur-Sarthe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sablé-sur-Sarthe Context triple: [Bietigheim-Bissingen, hasTwinTown, Sablé-sur-Sarthe]
-
A.
Sablé-sur-Sarthe
chosen
Sablé-sur-Sarthe is a commune in western France known for its historic town center and riverside setting in the Pays de la Loire region.
-
B.
Sully-sur-Loire
Sully-sur-Loire is a historic commune in north-central France known for its medieval château overlooking the Loire River.
-
C.
Joué-lès-Tours
Joué-lès-Tours is a suburban commune in central France’s Indre-et-Loire department, forming part of the urban area of Tours.
-
D.
Aubigny-sur-Nère
Aubigny-sur-Nère is a historic commune in the Cher department of central France, known for its strong Scottish connections and well-preserved medieval architecture.
-
E.
Chambray-lès-Tours
Chambray-lès-Tours is a suburban commune in central France’s Indre-et-Loire department, located just south of Tours and integrated into its metropolitan area.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6a1b648190a8bb2deb67bbdfdc |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170fb89248190ae431ce51dfeaffd |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.