Triple

T14967882
Position Surface form Disambiguated ID Type / Status
Subject Old Campus Hyderabad E373237 entity
Predicate hasName P744 FINISHED
Object Old Campus Hyderabad E373237 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: Old Campus Hyderabad | Statement: [Old Campus Hyderabad, hasName, Old Campus Hyderabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Campus Hyderabad
Context triple: [Old Campus Hyderabad, hasName, Old Campus Hyderabad]
  • A. Old Campus Hyderabad chosen
    Old Campus Hyderabad is a historic campus of the University of Sindh located in the city of Hyderabad, Pakistan.
  • B. Hyderabad campus
    Hyderabad campus is the Schulich School of Business’s international location in India, offering its management programs in partnership with local institutions.
  • C. Hyderabad campus
    Hyderabad campus is a constituent campus of Mehran University of Engineering and Technology located in the city of Hyderabad, Pakistan, offering various engineering and technology programs.
  • D. Agra campus
    Agra campus is a key regional center of Kendriya Hindi Sansthan, dedicated to the teaching, promotion, and research of the Hindi language.
  • E. University of Hyderabad
    The University of Hyderabad is a premier Indian central university and research institution known for its strong postgraduate programs and emphasis on interdisciplinary studies.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e44cb0819096e09f8026ef8174 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be4b0a88190989022108a58370d completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:48 a.m.