Triple
T9360056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domrémy |
E225253
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Domrémy-la-Pucelle |
E225253
|
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: Domrémy-la-Pucelle | Statement: [Domrémy, formerName, Domrémy-la-Pucelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domrémy-la-Pucelle Context triple: [Domrémy, formerName, Domrémy-la-Pucelle]
-
A.
Domrémy
chosen
Domrémy is a small village in northeastern France best known as the birthplace of Joan of Arc.
-
B.
Châteaudun
Châteaudun is a historic town in north-central France known for its medieval château overlooking the Loir River and its role as a gateway to the Loire Valley.
-
C.
Fontaine-au-Bois
Fontaine-au-Bois is a small commune in the Nord department of northern France, situated within the administrative area of the Hauts-de-France region.
-
D.
Montrichard
Montrichard is a historic town in central France’s Loire Valley, known for its medieval castle, picturesque setting on the Cher River, and traditional regional architecture.
-
E.
Amboise
Amboise is a historic town in central France on the Loire River, known for its royal château and as the place where Leonardo da Vinci spent his final years.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff2ca9081908ccc88651640ed84 |
completed | April 1, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11019134481908751bed86ff3cac3 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:42 p.m.