Triple
T18811373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles de Bourbon, comte de Soissons |
E460023
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Nogent-le-Rotrou |
E631975
|
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: Nogent-le-Rotrou | Statement: [Charles de Bourbon, comte de Soissons, birthPlace, Nogent-le-Rotrou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nogent-le-Rotrou Context triple: [Charles de Bourbon, comte de Soissons, birthPlace, Nogent-le-Rotrou]
-
A.
Nogent-le-Rotrou
chosen
Nogent-le-Rotrou is a historic town in the Eure-et-Loir department of northern France, known for its medieval château and location in the Perche region.
-
B.
Nogent
Nogent is a commune in northeastern France located within the Haute-Marne department in the Grand Est region.
-
C.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
-
D.
Tournan
Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
-
E.
Villeneuve-le-Comte
Villeneuve-le-Comte is a commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3dc01248190ab1c8943d180ca05 |
completed | April 20, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e6586bb0819080a3b5d12dea9c14 |
completed | May 14, 2026, 3:12 p.m. |
Created at: April 10, 2026, 11:53 a.m.