Triple

T2495134
Position Surface form Disambiguated ID Type / Status
Subject Khyber Pakhtunkhwa E52136 entity
Predicate hasMajorCity P316 FINISHED
Object Charsadda E54837 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: Charsadda | Statement: [Khyber Pakhtunkhwa, hasMajorCity, Charsadda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charsadda
Context triple: [Khyber Pakhtunkhwa, hasMajorCity, Charsadda]
  • A. Charsadda chosen
    Charsadda is a historic city in northwestern Pakistan known for its ancient Gandharan heritage and agricultural significance.
  • B. Tachelhit
    Tachelhit is a Berber (Amazigh) language spoken primarily in southwestern Morocco, especially in the Souss region and the High Atlas mountains.
  • C. Tarhuna
    Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
  • D. Madayya
    Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
  • E. Kalbeliya
    Kalbeliya is a vibrant folk dance form of the Kalbeliya (snake-charmer) community, characterized by fast, swirling movements and colorful costumes, and is recognized by UNESCO as an Intangible Cultural Heritage of Humanity.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd19541048190b9e39db119c20fe8 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f9608e48190825417943e8c4559 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:45 p.m.