Triple

T11562713
Position Surface form Disambiguated ID Type / Status
Subject Lower Dir District E274182 entity
Predicate headquarters P62 FINISHED
Object Timergara E933560 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: Timergara | Statement: [Lower Dir District, headquarters, Timergara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timergara
Context triple: [Lower Dir District, headquarters, Timergara]
  • A. Timergara chosen
    Timergara is a town in Pakistan’s Khyber Pakhtunkhwa province that serves as an administrative, commercial, and educational hub for the surrounding region.
  • B. Shingora
    Shingora is a film featuring Indian actress and model Persis Khambatta, known for her distinctive screen presence and international appeal.
  • C. Kalghatgi
    Kalghatgi is a town in the Dharwad district of Karnataka, India, known for its surrounding forests and agricultural economy.
  • D. Gharaunda
    Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
  • E. 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.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd2016481909b33848af3d1d6c1 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713bcc0048190bec14ac4ab84d51d completed April 21, 2026, 6:05 a.m.
Created at: April 8, 2026, 9:37 p.m.