Triple
T2180731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre-Val de Loire |
E49035
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Vierzon |
E295861
|
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: Vierzon | Statement: [Centre-Val de Loire, containsCity, Vierzon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vierzon Context triple: [Centre-Val de Loire, containsCity, Vierzon]
-
A.
Vierzon
chosen
Vierzon is a town in central France known historically as an industrial and railway hub in the Cher department of the Centre-Val de Loire region.
-
B.
Tournus
Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
-
C.
Saint-Dizier
Saint-Dizier is a commune in northeastern France known as an industrial town in the Haute-Marne department of the Grand Est region.
-
D.
Compiegne
Compiègne is a historic city in northern France known for its royal château, forest, and role in significant events such as the signing of the 1918 Armistice.
-
E.
Melun
Melun is a historic commune in the Île-de-France region of north-central France, known as a regional administrative center and former royal town southeast of Paris.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbef0e2f0819080ca457fe3b8b419 |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b333ef7f30819086b538cdc2cefe0f |
completed | March 12, 2026, 9:45 p.m. |
Created at: March 4, 2026, 7:45 p.m.