Triple

T13439732
Position Surface form Disambiguated ID Type / Status
Subject Osmania General Hospital E320326 entity
Predicate locatedIn P40 FINISHED
Object Afzal Gunj E383321 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: Afzal Gunj | Statement: [Osmania General Hospital, locatedIn, Afzal Gunj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afzal Gunj
Context triple: [Osmania General Hospital, locatedIn, Afzal Gunj]
  • A. Afzal Gunj chosen
    Afzal Gunj is a historic commercial neighborhood in Hyderabad, India, known for its bustling markets, old-city atmosphere, and proximity to several heritage sites.
  • B. Sher Afgan Khan
    Sher Afgan Khan was a Mughal nobleman and military officer best known as the first husband of the influential empress Nur Jahan.
  • C. Bakht Khan
    Bakht Khan was a key military leader of the Indian Rebellion of 1857, known for organizing and commanding rebel forces against British rule.
  • D. Khushal
    Khushal is a male given name of Persian origin commonly used in South Asia, meaning "happy" or "prosperous."
  • E. Shamsher
    Shamsher is the given first name of legendary Indian film actor and director Shammi Kapoor, a major star of Hindi cinema’s golden era.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee5ec488190bd0c1e990dbd2bc2 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7399421908190a7750e37c89a73f6 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:40 p.m.