Triple
T30515523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dimili |
E776553
|
entity |
| Predicate | hasAlternativeEthnonym |
P57538
|
FINISHED |
| Object | Zaza |
—
|
NE NERFINISHED |
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: Zaza | Statement: [Dimili, hasAlternativeEthnonym, Zaza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeEthnonym Context triple: [Dimili, hasAlternativeEthnonym, Zaza]
-
A.
hasEthnonymVariant
chosen
Indicates that one ethnonym is an alternative or variant form of another ethnonym referring to the same ethnic group.
-
B.
hasAlternativeToponymy
Indicates that an entity is associated with one or more alternative place names or toponyms used to refer to the same geographic location.
-
C.
hasAlternativeFamilyName
Indicates that an entity is associated with an additional or variant family name besides its primary family name.
-
D.
equivalentEthnonym
Indicates that two different ethnonyms refer to the same ethnic group or people.
-
E.
hasAlternativeNameForSameRace
Indicates that one name is an alternative designation used for the same race as another name.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 29, 2026, 8:16 p.m.