Triple

T3357982
Position Surface form Disambiguated ID Type / Status
Subject HITEC City E70649 entity
Predicate adjacentTo P224 FINISHED
Object Gachibowli E349849 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: Gachibowli | Statement: [HITEC City, adjacentTo, Gachibowli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gachibowli
Context triple: [HITEC City, adjacentTo, Gachibowli]
  • A. Gachibowli chosen
    Gachibowli is a major IT and residential hub in Hyderabad, India, known for its technology parks, corporate offices, and educational institutions.
  • B. Kondapur
    Kondapur is a rapidly developing residential and commercial suburb in Hyderabad, India, known for its proximity to major IT hubs and tech parks.
  • C. Khammam
    Khammam is a city in the Indian state of Telangana known for its historical forts, temples, and proximity to the Munneru River.
  • D. 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.
  • E. Kakinada
    Kakinada is a coastal city in the Indian state of Andhra Pradesh, known for its port, seafood industry, and role as a regional commercial hub.
  • 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_69ad85a660c48190998489309a3b4869 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb244435c81908e35d2aa36ec4f46 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bbbc3a48190bc17572ba3136948 completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:13 p.m.