Triple
T6957040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patouès |
E161269
|
entity |
| Predicate | hasSpeakerAttitude |
P27747
|
FINISHED |
| Object | identity marker for local communities |
—
|
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: identity marker for local communities | Statement: [Patouès, hasSpeakerAttitude, identity marker for local communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeakerAttitude Context triple: [Patouès, hasSpeakerAttitude, identity marker for local communities]
-
A.
hasUserAttitude
chosen
Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
-
B.
hasSpeakerType
Indicates that an entity functions in a particular role or category as a speaker (e.g., narrator, character, announcer) within a given context.
-
C.
hasSpeakersAmong
Indicates that a group, event, or entity includes one or more speakers drawn from a specified set or category.
-
D.
hasMainSpeaker
Indicates that one entity serves as the primary or principal speaker associated with another entity, such as an event, recording, or presentation.
-
E.
hasSpeakersIn
Indicates that an entity (such as an event, conference, or session) includes or is associated with speakers located in or belonging to a specified place or group.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dad0e52081908b524dc6a66bab01 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.