Triple

T17612716
Position Surface form Disambiguated ID Type / Status
Subject Agra University E429001 entity
Predicate shortName P43 FINISHED
Object DBRAU 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: DBRAU | Statement: [Agra University, shortName, DBRAU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DBRAU
Context triple: [Agra University, shortName, DBRAU]
  • A. DBRAU chosen
    DBRAU is a public state university located in Agra, Uttar Pradesh, India, known for offering a wide range of undergraduate and postgraduate programs across various disciplines.
  • B. DBRAIT
    DBRAIT is a technical education institute in Port Blair named after Dr. B. R. Ambedkar, offering engineering and related professional programs.
  • C. DBRG
    DBRG is the station code for Dibrugarh railway station, a major railhead in the northeastern Indian state of Assam.
  • D. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • E. Braux
    Braux is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2eaa348190a8226eef8c0d6e31 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.