Triple

T19255744
Position Surface form Disambiguated ID Type / Status
Subject National Highway 44 (India) E481511 entity
Predicate connectsCity P4245 FINISHED
Object Kurnool 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: Kurnool | Statement: [National Highway 44 (India), connectsCity, Kurnool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurnool
Context triple: [National Highway 44 (India), connectsCity, Kurnool]
  • A. Kurnool chosen
    Kurnool is a prominent city in the Indian state of Andhra Pradesh, known historically as a former capital and a key commercial and educational center in the region.
  • B. Nellore
    Nellore is a prominent coastal city in southeastern India known for its agriculture, aquaculture, and role as an administrative and commercial center in Andhra Pradesh.
  • C. 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.
  • D. Rajahmundry
    Rajahmundry is a historic city in the Indian state of Andhra Pradesh, known as a major cultural and commercial center in the Godavari region.
  • E. Guntur
    Guntur is a major city in the Indian state of Andhra Pradesh, known historically as an important administrative and commercial center in southeastern India.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3572c08190a55f1c71cdb18b42 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.