Triple
T1836598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zazaki |
E41080
|
entity |
| Predicate | isSpokenNear |
P18252
|
FINISHED |
| Object | Kurdish-speaking regions |
—
|
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: Kurdish-speaking regions | Statement: [Zazaki, isSpokenNear, Kurdish-speaking regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpokenNear Context triple: [Zazaki, isSpokenNear, Kurdish-speaking regions]
-
A.
hasSpeech
Indicates that an entity produces, delivers, or is associated with a spoken utterance or verbal expression.
-
B.
spokenAlong
Indicates that two or more languages are used concurrently or within the same context in a particular place, time, or situation.
-
C.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
D.
soundHeardDistanceApproximate
Indicates that a sound was heard at an estimated, not precisely measured, distance from the listener or reference point.
-
E.
hasNearbyMode
chosen
Indicates that one entity has another entity located close enough to be considered in its immediate vicinity or surrounding area.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafd88ebc81908208394746351fe6 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.