Triple
T13345039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hector Malot |
E317926
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | La Bouille |
E1033267
|
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: La Bouille | Statement: [Hector Malot, placeOfBirth, La Bouille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Bouille Context triple: [Hector Malot, placeOfBirth, La Bouille]
-
A.
La Bouille
chosen
La Bouille is a small picturesque commune in northern France, situated along the Seine River in the Normandy region.
-
B.
La Soupe
La Soupe is a somber, monochromatic painting by Pablo Picasso that exemplifies the emotional depth and social themes of his Blue Period.
-
C.
La Bourboule
La Bourboule is a spa and tourist town in central France, known for its thermal baths and Belle Époque architecture in the Massif Central.
-
D.
Bondoufle
Bondoufle is a commune in the southern suburbs of Paris, located in the Essonne department in Île-de-France, France.
-
E.
Tête-de-Boule
Tête-de-Boule is a historical French exonym for the Atikamekw, an Indigenous people of the upper Saint-Maurice River region in Quebec, Canada.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e89c65c819093f3bea11d6073c5 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f439b3c8190b35fd4d097d65068 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.