Triple

T12306484
Position Surface form Disambiguated ID Type / Status
Subject ITPL E293365 entity
Predicate alsoKnownAs P39 FINISHED
Object ITPL 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: ITPL Bangalore | Statement: [ITPL, alsoKnownAs, ITPL Bangalore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ITPL Bangalore
Context triple: [ITPL, alsoKnownAs, ITPL 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. Bengaluru campus
    Bengaluru campus is a regional campus of the Indian Veterinary Research Institute that supports veterinary education and research activities in southern India.
  • C. Tata Innovation Center
    Tata Innovation Center is a major academic and entrepreneurial hub on Cornell Tech’s Roosevelt Island campus in New York City, designed to foster collaboration between researchers, students, and industry partners.
  • D. Principal Bench at Bengaluru
    The Principal Bench at Bengaluru is the main seat of the Karnataka High Court, where its chief judicial and administrative functions are centered.
  • E. Hyderabad centre
    Hyderabad centre is a regional campus of Kendriya Hindi Sansthan dedicated to promoting and teaching Hindi language and literature in the Hyderabad region.
  • 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.