Triple

T5511336
Position Surface form Disambiguated ID Type / Status
Subject Anantnag district E144570 entity
Predicate containsTown P847 FINISHED
Object Kokernag E529919 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: Kokernag | Statement: [Anantnag district, containsTown, Kokernag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kokernag
Context triple: [Anantnag district, containsTown, Kokernag]
  • A. Kokernag chosen
    Kokernag is a scenic town in Jammu and Kashmir, India, renowned for its natural springs, lush gardens, and surrounding forested mountains that make it a popular hill-station getaway.
  • B. Dholka
    Dholka is a historic town in the Ahmedabad district of Gujarat, India, known for its ancient architecture and role as a regional trading center.
  • C. Lahaul
    Lahaul is a high-altitude, sparsely populated Himalayan region in northern India known for its rugged landscapes, Buddhist monasteries, and cold desert climate.
  • D. Baijnath
    Baijnath is a historic town in Himachal Pradesh, India, renowned for its ancient Shiva temple and scenic Himalayan surroundings.
  • E. Kheragarh
    Kheragarh is a town in the culturally significant Braj region of northern India, known for its historical and religious associations with the broader Mathura–Agra area.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4cbc2c819091fcbff5f39ceeb4 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cbaca1c8190a7f6d4001f43749c completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:33 p.m.