Triple
T13436185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niçois (dialecte) |
E320234
|
entity |
| Predicate | appartientÀ |
P109922
|
FINISHED |
| Object | langue occitane |
—
|
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: langue occitane | Statement: [Niçois (dialecte), appartientÀ, langue occitane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appartientÀ Context triple: [Niçois (dialecte), appartientÀ, langue occitane]
-
A.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
B.
believedToBelongTo
Indicates that something is thought or assumed, but not definitively known, to be owned by or part of a particular entity.
-
C.
canBelongTo
Indicates that something is capable of being a member or part of a particular group, category, or owner.
-
D.
oftenPartOf
Indicates that one entity frequently occurs as a component or subset within another entity, though not necessarily always.
-
E.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- F. None of above. chosen
Provenance (4 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee42a8c8190a85716b4a6db335e |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:40 p.m.