Triple

T19349855
Position Surface form Disambiguated ID Type / Status
Subject Turbat E483983 entity
Predicate isPartOf P10 FINISHED
Object Kech District 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: Kech District | Statement: [Turbat, isPartOf, Kech District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kech District
Context triple: [Turbat, isPartOf, Kech District]
  • A. Kech District chosen
    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.
  • B. Shabran District
    Shabran District is an administrative region in northeastern Azerbaijan known for its historical sites and location near the Caspian Sea.
  • 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. Murtal District
    Murtal District is an administrative district in the Austrian state of Styria, known for its alpine landscapes, industry, and motorsport facilities such as the Red Bull Ring.
  • E. Barmal District
    Barmal District is an administrative district in southeastern Afghanistan, located within Paktika Province near the border with Pakistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190381c081909c747a22422fb02c completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.