Triple

T18747135
Position Surface form Disambiguated ID Type / Status
Subject Zafar E458432 entity
Predicate nearbyCity P350 FINISHED
Object Dhamar 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: Dhamar | Statement: [Zafar, nearbyCity, Dhamar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhamar
Context triple: [Zafar, nearbyCity, Dhamar]
  • A. Dhamar chosen
    Dhamar is a historic city in Yemen known as an important political and cultural center, particularly during the rule of the Rassid dynasty.
  • B. Dargai
    Dargai is a town in Pakistan’s Khyber Pakhtunkhwa province, historically known as a strategic and military site in the Malakand region.
  • C. Durdhara
    Durdhara is traditionally regarded as the wife of the Mauryan emperor Chandragupta Maurya and the mother of his successor, Bindusara, in ancient Indian history.
  • D. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • E. Jhadol
    Jhadol is a town in the Udaipur district of Rajasthan, India, known for its tribal communities and scenic hilly surroundings.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e576936cf08190b3c0d2f4e8a616fc completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.