Triple

T12306483
Position Surface form Disambiguated ID Type / Status
Subject ITPL E293365 entity
Predicate alsoKnownAs P39 FINISHED
Object International Tech Park Bangalore E293364 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: International Tech Park Bangalore | Statement: [ITPL, alsoKnownAs, International Tech Park Bangalore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: International Tech Park Bangalore
Context triple: [ITPL, alsoKnownAs, International Tech Park Bangalore]
  • A. International Tech Park Bangalore chosen
    International Tech Park Bangalore is a major technology and business park in Bengaluru that hosts numerous multinational IT and software companies.
  • B. Raheja IT Park
    Raheja IT Park is a major commercial technology hub in Hyderabad’s HITEC City, housing numerous IT and software companies in a modern business campus.
  • C. Mindspace IT Park
    Mindspace IT Park is a major commercial and technology hub in Hyderabad, India, housing numerous multinational IT and software companies.
  • D. Hinjawadi IT Park
    Hinjawadi IT Park is a major technology and business hub in Pune, India, housing numerous IT companies, startups, and multinational corporations.
  • E. IIT Madras Research Park
    IIT Madras Research Park is a pioneering innovation hub in Chennai that fosters collaboration between industry and academia, supporting startups, R&D, and technology commercialization.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f00695c8190b7365e4593631690 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7f8fd08190bdef3bb761d53f97 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.