Triple

T14163733
Position Surface form Disambiguated ID Type / Status
Subject Kazipet Junction E351013 entity
Predicate servesCity P82 FINISHED
Object Warangal E258043 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: Warangal | Statement: [Kazipet Junction, servesCity, Warangal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warangal
Context triple: [Kazipet Junction, servesCity, Warangal]
  • A. Warangal chosen
    Warangal is a historic city in southern India known for its Kakatiya-era forts, temples, and monuments, and is one of the major urban centers of the state of Telangana.
  • B. Guntakal
    Guntakal is a major railway junction town in Andhra Pradesh, India, serving as an important transit hub on several key rail routes in southern India.
  • C. Ravulapalem
    Ravulapalem is a town in the Indian state of Andhra Pradesh, known for its agricultural markets and location along key transport routes in the Godavari region.
  • D. Bhadrachalam
    Bhadrachalam is a temple town in Telangana, India, renowned for its major Sri Rama temple and its location along the banks of the Godavari River.
  • E. Karimnagar
    Karimnagar is a prominent city in the Indian state of Telangana, known as an important commercial and educational center in the region.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de613a4a2081908fd51bf4b4d82b6c completed April 14, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c27b7088190bd7714391d0536b1 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 12:59 a.m.