Triple

T14150369
Position Surface form Disambiguated ID Type / Status
Subject Nanakramguda E350661 entity
Predicate nearbyArea P2064 FINISHED
Object Manikonda E349852 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: Manikonda | Statement: [Nanakramguda, nearbyArea, Manikonda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manikonda
Context triple: [Nanakramguda, nearbyArea, Manikonda]
  • A. Manikonda chosen
    Manikonda is a rapidly developing residential and IT suburb in the western part of Hyderabad, known for its proximity to major technology hubs and corporate campuses.
  • B. Mohanchoti
    Mohanchoti is an island located within Lake Pichola in Udaipur, Rajasthan, India.
  • C. Manjai Kunda
    Manjai Kunda is a residential neighborhood within the urban area of Serekunda in The Gambia.
  • D. Kundagannada
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • E. Mudgagiri
    Mudgagiri is the historical name of Munger, an ancient city in the Indian state of Bihar known for its strategic location on the Ganges and its rich cultural and religious heritage.
  • 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_69de6124e23481909e5132a40a1d8624 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf21f8c8819097ff26e6bb345b52 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:56 a.m.