Triple

T2807708
Position Surface form Disambiguated ID Type / Status
Subject Mardan E54093 entity
Predicate isCapitalOf P204 FINISHED
Object Mardan District E303034 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: Mardan District | Statement: [Mardan, isCapitalOf, Mardan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mardan District
Context triple: [Mardan, isCapitalOf, Mardan District]
  • A. Mardan District chosen
    Mardan District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural economy and the historic Buddhist site of Takht-i-Bahi.
  • B. Mardan Division
    Mardan Division is an administrative division in Pakistan known for encompassing the city of Mardan and surrounding districts within the Khyber Pakhtunkhwa province.
  • C. Kohistan District
    Kohistan District is a mountainous administrative region in northern Pakistan known for its rugged terrain, remote valleys, and ethnically diverse communities.
  • D. Kurram District
    Kurram District is an administrative district in northwestern Pakistan, located along the Afghan border and known for its strategically important Kurram Valley and ethnically diverse population.
  • E. Badaro district
    Badaro district is a vibrant residential and commercial neighborhood in Beirut, Lebanon, known for its cafés, nightlife, and proximity to major cultural and governmental institutions.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1f856ad508190a92d9e9decc68c58 completed March 11, 2026, 11:18 p.m.
Created at: March 6, 2026, 9:59 p.m.