Triple
T21100781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucien Febvre |
E519897
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Nancy, France |
—
|
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: Nancy, France | Statement: [Lucien Febvre, placeOfBirth, Nancy, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy, France Context triple: [Lucien Febvre, placeOfBirth, Nancy, France]
-
A.
Nancy, France
chosen
Nancy is a historic city in northeastern France known for its elegant 18th-century architecture, especially the UNESCO-listed Place Stanislas.
-
B.
Nice, France
Nice, France is a major Mediterranean coastal city on the French Riviera known for its picturesque Promenade des Anglais, vibrant arts scene, and historic old town.
-
C.
Noailles, France
Noailles, France is a small commune in northern France known for its historical ties to the noble de Noailles family.
-
D.
Lafrançaise, France
Lafrançaise is a small commune in the Tarn-et-Garonne department of southern France, known for its rural charm and traditional French village atmosphere.
-
E.
Gennes, France
Gennes is a commune in western France, situated along the Loire River in the Maine-et-Loire department, known for its scenic landscapes and historical heritage.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5cef408190821d345417b77116 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:53 p.m.