Triple

T10987722
Position Surface form Disambiguated ID Type / Status
Subject Ingiloys E259672 entity
Predicate traditionalRegion P1968 FINISHED
Object Qakh 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: Qakh District | Statement: [Ingiloys, traditionalRegion, Qakh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qakh District
Context triple: [Ingiloys, traditionalRegion, Qakh District]
  • A. 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.
  • B. Musa Qala District
    Musa Qala District is an administrative district in northern Helmand Province, Afghanistan, known for its strategic location and history of intense conflict during the Afghan war.
  • C. 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.
  • D. Nushki District
    Nushki District is an administrative district in the Balochistan province of Pakistan, known for its arid landscape and strategic location near the Afghan border.
  • E. Murzuq District
    Murzuq District is an administrative region in southwestern Libya known for its vast Sahara Desert landscapes and sparse population.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d787b3c8388190be77e95d56979a7f completed April 9, 2026, 11:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69e49677a2508190a113f9f24e318e48 completed April 19, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:24 p.m.