Triple
T9055188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tat people |
E216978
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Khizi District |
E153533
|
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: Khizi District | Statement: [Tat people, region, Khizi District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khizi District Context triple: [Tat people, region, Khizi District]
-
A.
Ziarat District
Ziarat District is a mountainous administrative region in northeastern Balochistan, Pakistan, known for its juniper forests and the historic Ziarat Residency.
-
B.
Tabasaran District
Tabasaran District is an administrative district in the Republic of Dagestan, Russia, known for its predominantly Tabasaran-speaking population and mountainous rural landscape.
-
C.
Nasirabad District
Nasirabad District is an administrative district in the Balochistan province of Pakistan, known for its agricultural economy and strategic location in the province’s eastern plains.
-
D.
Hesarak District
Hesarak District is an administrative district located in eastern Afghanistan within Nangarhar Province.
-
E.
Qakh District
chosen
Qakh District is an administrative region in northwestern Azerbaijan known for its ethnically diverse population and location along the border with Georgia.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a7488188190b3dd6bc2f2377503 |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02fd2a1e88190bc8d8c2b634399dd |
completed | April 3, 2026, 9:23 p.m. |
Created at: March 30, 2026, 7:10 p.m.