Triple

T10933173
Position Surface form Disambiguated ID Type / Status
Subject Ghulam Khan E258259 entity
Predicate roadAccessFrom P22549 FINISHED
Object Miranshah E867129 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: Miranshah | Statement: [Ghulam Khan, roadAccessFrom, Miranshah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miranshah
Context triple: [Ghulam Khan, roadAccessFrom, Miranshah]
  • A. Miranshah chosen
    Miranshah is the main administrative and commercial town of North Waziristan in Pakistan’s Khyber Pakhtunkhwa province, near the border with Afghanistan.
  • B. Miranshah
    Miranshah was a son of the Turco-Mongol conqueror Timur (Tamerlane) who served as one of his key governors and military commanders in the Timurid Empire.
  • C. Shahbad Markanda
    Shahbad Markanda is a town in the Kurukshetra district of Haryana, India, known for its agricultural trade and historical significance in the region.
  • D. Sachal
    Sachal is the honorific name of Sachal Sarmast, an 18th–19th century Sindhi Sufi poet and mystic renowned for his multilingual poetry and message of spiritual unity.
  • E. Shahrbani
    Shahrbani was the former national police force of Iran responsible for maintaining public order and security before being merged into the current Law Enforcement Command of the Islamic Republic of Iran.
  • 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_69d770a16cbc8190acd619defed7114c completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2176328448190bbce6735ec97507a completed April 17, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:23 p.m.