Triple

T9055186
Position Surface form Disambiguated ID Type / Status
Subject Tat people E216978 entity
Predicate region P40 FINISHED
Object Shabran District E236355 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: Shabran District | Statement: [Tat people, region, Shabran District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shabran District
Context triple: [Tat people, region, Shabran District]
  • A. Shabran District chosen
    Shabran District is an administrative region in northeastern Azerbaijan known for its historical sites and location near the Caspian Sea.
  • B. Rusafa District
    Rusafa District is a central administrative area of Baghdad, Iraq, known for encompassing key cultural and historical landmarks, including major monuments and public institutions.
  • C. Pishin District
    Pishin District is an administrative district in the Balochistan province of Pakistan, known for its agricultural economy and predominantly Pashtun population.
  • D. Kech District
    Kech District is an administrative district in Pakistan’s Balochistan province, known for its strategic location in the Makran region and its headquarters at Turbat.
  • E. Khogyani District
    Khogyani District is an administrative district in eastern Afghanistan known for its largely rural Pashtun population and its location within Nangarhar Province near the Pakistan border.
  • 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_69cfebdb01a8819084365c9b73506a28 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.