Triple
T12132497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Quentin Church, Scy-Chazelles |
E288967
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Scy-Chazelles |
E329359
|
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: Scy-Chazelles | Statement: [Saint-Quentin Church, Scy-Chazelles, locatedIn, Scy-Chazelles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scy-Chazelles Context triple: [Saint-Quentin Church, Scy-Chazelles, locatedIn, Scy-Chazelles]
-
A.
Scy-Chazelles
chosen
Scy-Chazelles is a commune in northeastern France best known as the longtime residence and burial place of European statesman Robert Schuman.
-
B.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
-
C.
Cheyres-Châbles
Cheyres-Châbles is a municipality in the canton of Fribourg in western Switzerland, situated on the southern shore of Lake Neuchâtel.
-
D.
Rosières
Rosières is a village and district within the municipality of Rixensart in Walloon Brabant, Belgium.
-
E.
Rosières
Rosières is a locality within the municipality of Vaux-sur-Sûre in the Walloon region of Belgium.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158b34648190b5eecdf9b07fbb3f |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6717defe48190bc63b83e2c276ebc |
completed | May 2, 2026, 9:49 p.m. |
Created at: April 8, 2026, 9:49 p.m.