Triple
T14953677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgeron |
E372862
|
entity |
| Predicate | gentilic |
P51315
|
FINISHED |
| Object | Montgeronnais |
—
|
LITERAL 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: Montgeronnais | Statement: [Montgeron, gentilic, Montgeronnais]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gentilic Context triple: [Montgeron, gentilic, Montgeronnais]
-
A.
gentilicLanguage
Indicates that a language is associated with or derived from a particular gentilic (demonym) for a people or place.
-
B.
usesGentilicFor
Indicates that one entity refers to another using a gentilic (a demonym or term denoting origin, nationality, or regional affiliation).
-
C.
ethnonym
Indicates that one entity is the name of an ethnic group used to refer to the people associated with another entity.
-
D.
nationalityAdjectiveOf
chosen
Indicates that one term is the adjectival form derived from the nationality associated with the other term.
-
E.
adoptiveNomen
Indicates a naming relationship where one entity has taken on or been given the name of another in an adoptive or non-biological sense.
- F. None of above.
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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cb336c8190b8a55106fa8fc500 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:40 a.m.