Triple

T21968419
Position Surface form Disambiguated ID Type / Status
Subject BR-304 E542517 entity
Predicate maintainedBy P86 FINISHED
Object DNIT NE NERFINISHED

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: DNIT | Statement: [BR-304, maintainedBy, DNIT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DNIT
Context triple: [BR-304, maintainedBy, DNIT]
  • A. DNIT chosen
    DNIT is Brazil’s federal National Department of Transport Infrastructure, responsible for managing and maintaining the country’s federal highways and related transport works.
  • B. DNIL
    DNIL is the ICAO airport code assigned to Ilorin International Airport in Ilorin, Nigeria.
  • C. DN1
    DN1 is a regional road in Croatia that forms part of the country’s primary state road network, connecting major inland cities and routes.
  • D. NITT
    NITT is a premier public engineering and technology institute in Tiruchirappalli, India, renowned for its rigorous academics and research.
  • E. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1245c5d148190af2a06190ba32feb completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8:02 p.m.