Triple

T874431
Position Surface form Disambiguated ID Type / Status
Subject Swami Vivekananda E18884 entity
Predicate placeOfDeath P21 FINISHED
Object Belur E103922 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: Belur | Statement: [Swami Vivekananda, placeOfDeath, Belur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belur
Context triple: [Swami Vivekananda, placeOfDeath, Belur]
  • A. Belur Math chosen
    Belur Math is a monastery and temple complex on the banks of the Ganges near Kolkata, serving as the headquarters of the Ramakrishna Math and Ramakrishna Mission founded by Swami Vivekananda.
  • B. Srirangam
    Srirangam is a prominent temple town in Tamil Nadu, India, renowned for the vast Sri Ranganathaswamy Temple dedicated to Lord Vishnu.
  • C. Srirangapatna
    Srirangapatna is a historic island town in Karnataka, India, renowned as the former capital of Tipu Sultan and the Mysore Kingdom.
  • D. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • E. Tirumala
    Tirumala is a prominent hill town in Andhra Pradesh, India, best known as the site of the revered Tirumala Venkateswara Temple, one of Hinduism’s most important pilgrimage destinations.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac992d8c819088800f5a713fa7a4 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c71e7c448190aa128bfaf26daead completed March 4, 2026, 5:46 a.m.
Created at: March 1, 2026, 7:39 p.m.