Triple

T14244161
Position Surface form Disambiguated ID Type / Status
Subject Cyber Pearl E353087 entity
Predicate region P40 FINISHED
Object Madhapur area E349850 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: Madhapur area | Statement: [Cyber Pearl, region, Madhapur area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madhapur area
Context triple: [Cyber Pearl, region, Madhapur area]
  • A. Madhapur chosen
    Madhapur is a major IT and business district in Hyderabad, India, known for its technology parks, corporate offices, and modern urban infrastructure.
  • B. Padampur
    Padampur is a town in the Ganganagar district of Rajasthan, India, known for its agricultural economy supported by canal irrigation in the arid northwestern region of the state.
  • C. Hanamkonda
    Hanamkonda is a major urban area and historical locality in the Indian state of Telangana, forming part of the tri-city region along with Warangal and Kazipet.
  • D. Mirzapur district
    Mirzapur district is an administrative district in the southeastern part of Uttar Pradesh, India, known for its carpet industry, temples, and the nearby Vindhyachal pilgrimage site.
  • E. Damoh
    Damoh is a city in central India that serves as the administrative headquarters of Damoh district in the state of Madhya Pradesh.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6245d6a481909ef665748cd4d64c completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd55008a5c8190b005a12df7ef2f75 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:08 a.m.