Triple

T14500968
Position Surface form Disambiguated ID Type / Status
Subject Karnataka E359634 entity
Predicate hasUNESCOWorldHeritageSite P1098 FINISHED
Object Hampi E161551 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: Hampi | Statement: [Karnataka, hasUNESCOWorldHeritageSite, Hampi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampi
Context triple: [Karnataka, hasUNESCOWorldHeritageSite, Hampi]
  • A. Hampi chosen
    Hampi is an ancient ruined city in Karnataka, India, famed for its monumental Hindu temples and as the former capital of the Vijayanagara Empire.
  • B. Belur
    Belur is a locality in the Howrah district of West Bengal, India, known for its proximity to the Hooghly River and the famous Belur Math.
  • C. Belur
    Belur is a historic town in Karnataka, India, renowned for its exquisite Hoysala-era temple architecture, especially the Chennakeshava Temple.
  • D. Vimanapura
    Vimanapura is a residential and institutional neighborhood in eastern Bengaluru, India, known for its proximity to the old HAL Airport and several aerospace and defense establishments.
  • E. Shringeri
    Shringeri is a historic temple town and prominent center of Advaita Vedanta scholarship in Karnataka, India, renowned for its ancient matha and rich manuscript tradition.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9b6f7481908b7eb76226a93545 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.