Triple
T17847331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karol Scheibler |
E445698
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Montjoie |
—
|
NE NERFINISHED |
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: Montjoie | Statement: [Karol Scheibler, placeOfBirth, Montjoie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montjoie Context triple: [Karol Scheibler, placeOfBirth, Montjoie]
-
A.
Montjoie
chosen
Montjoie is a historic town in western Germany, now known as Monschau, noted for its well-preserved medieval architecture in the Eifel region.
-
B.
Montjoie Saint Denis
Montjoie Saint Denis is the historic French royal battle cry and motto invoking Saint Denis, traditionally used by the kings of France and associated with the monarchy’s arms.
-
C.
Chevaleret
Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
-
D.
Joncreuil
Joncreuil is a small French commune located in the Aube department in the Grand Est region of northeastern France.
-
E.
Muriaux
Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffb35248190a80a428686e06d87 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.