Triple

T1656783
Position Surface form Disambiguated ID Type / Status
Subject Bikaner E35816 entity
Predicate namedAfter P63 FINISHED
Object Rao Bika E187811 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: Rao Bika | Statement: [Bikaner, namedAfter, Rao Bika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rao Bika
Context triple: [Bikaner, namedAfter, Rao Bika]
  • A. Rao Bika chosen
    Rao Bika was a 15th-century Rajput prince of the Rathore clan who established and ruled the kingdom that became the city of Bikaner in present-day Rajasthan, India.
  • B. Pithla Bhakri
    Pithla Bhakri is a rustic Maharashtrian staple meal consisting of a spiced gram-flour curry (pithla) served with a hearty unleavened flatbread (bhakri), commonly eaten by rural and working-class communities.
  • C. Sandesh
    Sandesh is a traditional Bengali milk-based sweet delicacy, especially associated with the cuisine and festivals of West Bengal, India.
  • D. Shakarparian
    Shakarparian is a popular hilltop park and viewpoint in Islamabad, Pakistan, known for its scenic city vistas, gardens, and national monuments.
  • E. Khichdi
    Khichdi is a traditional South Asian comfort dish made by cooking rice and lentils together, often seasoned with mild spices and ghee.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8d85f08190a50ade3f443b7703 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71ab0ea0819099662964aab9609e completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.