Triple

T14163358
Position Surface form Disambiguated ID Type / Status
Subject Phoenix Avance E351004 entity
Predicate partOf P40 FINISHED
Object HITEC City technology hub E70649 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: HITEC City technology hub | Statement: [Phoenix Avance, partOf, HITEC City technology hub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HITEC City technology hub
Context triple: [Phoenix Avance, partOf, HITEC City technology hub]
  • A. HITEC City chosen
    HITEC City is a major technology and business district in Hyderabad, India, known for housing numerous IT companies, multinational corporations, and modern infrastructure.
  • B. Cidade da Tecnologia
    Cidade da Tecnologia is a nickname for Campina Grande, a Brazilian city renowned as a major regional hub for technology, innovation, and higher education.
  • C. Tech City
    Tech City is a major technology startup and innovation hub centered around East London’s Silicon Roundabout.
  • D. Prestige Tech Park
    Prestige Tech Park is a major IT and business office complex in Bangalore known for housing numerous technology and corporate companies.
  • E. NESCO IT Park
    NESCO IT Park is a major commercial and information technology hub in Goregaon, Mumbai, housing numerous corporate offices and tech companies.
  • 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_69de613a4a2081908fd51bf4b4d82b6c completed April 14, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193dbbcc819082043d92c174164c completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 12:59 a.m.