Triple

T14249502
Position Surface form Disambiguated ID Type / Status
Subject Ameerpet E353219 entity
Predicate adjacentTo P224 FINISHED
Object Yousufguda E1082302 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: Yousufguda | Statement: [Ameerpet, adjacentTo, Yousufguda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yousufguda
Context triple: [Ameerpet, adjacentTo, Yousufguda]
  • A. Khairatabad
    Khairatabad is a prominent commercial and administrative locality in central Hyderabad, India, known for its major government offices, busy junction, and proximity to key city landmarks.
  • B. Nanakramguda
    Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
  • C. Hafeezpet chosen
    Hafeezpet is a residential and commercial suburb in the western part of Hyderabad, Telangana, known for its proximity to major IT hubs and growing urban infrastructure.
  • D. Gujba
    Gujba is a local government area and town in northeastern Nigeria, known for its predominantly rural communities and location within Yobe State.
  • E. Kukatpally
    Kukatpally is a major residential and commercial suburb in Hyderabad, India, known for its dense population, shopping areas, and proximity to the IT corridor.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6295ef9081909cfb0c1283bca21a completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1081148190b8830615a34711c0 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:08 a.m.