Triple
T10940852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunceli Province |
E258466
|
entity |
| Predicate | hasSignificantPopulationGroup |
P1898
|
FINISHED |
| Object | Zaza Kurds |
E837222
|
NE 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: Zaza Kurds | Statement: [Tunceli Province, hasSignificantPopulationGroup, Zaza Kurds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaza Kurds Context triple: [Tunceli Province, hasSignificantPopulationGroup, Zaza Kurds]
-
A.
Zaza Dimlî
chosen
Zaza Dimlî is a Northwestern Iranian language spoken primarily in eastern Turkey by the Zaza people, often considered a distinct language closely related to Kurdish.
-
B.
Muzafer
Muzafer is the given name of Muzafer Sherif, a pioneering social psychologist best known for his work on group conflict and the Robbers Cave experiment.
-
C.
Bahzani
Bahzani is a town in northern Iraq, traditionally inhabited by Yazidis and other minorities, located near Bashiqa in the Nineveh Governorate.
-
D.
Ziya
Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
-
E.
Kadir
Kadir is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c2821c8190a7b08276c4bfbf33 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c0e940081908c84ea4cf3b877fc |
completed | April 17, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:23 p.m.