Triple

T9083537
Position Surface form Disambiguated ID Type / Status
Subject Visakhapatnam district E217692 entity
Predicate hasIndustrialArea P40 FINISHED
Object Auto Nagar Visakhapatnam E661232 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: Auto Nagar Visakhapatnam | Statement: [Visakhapatnam district, hasIndustrialArea, Auto Nagar Visakhapatnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auto Nagar Visakhapatnam
Context triple: [Visakhapatnam district, hasIndustrialArea, Auto Nagar Visakhapatnam]
  • A. Auto Nagar chosen
    Auto Nagar is an industrial area in Belagavi known primarily for its concentration of automobile-related workshops, small manufacturing units, and service industries.
  • B. Bhagyanagaram
    Bhagyanagaram is an alternative name historically used for the Indian city of Hyderabad, particularly in Telugu contexts.
  • C. Gachibowli
    Gachibowli is a major IT and residential hub in Hyderabad, India, known for its technology parks, corporate offices, and educational institutions.
  • D. Sundar Nagar
    Sundar Nagar is a town in the Mandi district of Himachal Pradesh, India, known for its scenic surroundings and educational institutions.
  • E. Prem Nagar
    Prem Nagar is a popular Indian romantic drama film produced by renowned filmmaker D. Ramanaidu, known for its influential status in Telugu and Hindi cinema.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960b45fc8190adf4bdc41b103e86 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe30093481908b3ec394cf585642 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.