Triple

T5117644
Position Surface form Disambiguated ID Type / Status
Subject Sugriva E115376 entity
Predicate kingdom P567 FINISHED
Object Kishkindha E124411 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: Kishkindha | Statement: [Sugriva, kingdom, Kishkindha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kishkindha
Context triple: [Sugriva, kingdom, Kishkindha]
  • A. Kishkindha chosen
    Kishkindha is the mythical monkey kingdom ruled by Sugriva in the Indian epic Ramayana, where Rama forms an alliance with the vanara army to search for Sita.
  • B. Kosala
    Kosala is an ancient Indian kingdom in Hindu epic tradition, most prominently known as the realm ruled by Lord Rama with its capital at Ayodhya.
  • C. Singhwara
    Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
  • D. Dashagriva
    Dashagriva is an epithet of the demon-king Ravana from the Hindu epic Ramayana, highlighting his legendary form with ten heads.
  • E. Maddur
    Maddur is a town in Karnataka, India, known for its location between Bengaluru and Mysuru and its popular local snack, Maddur vada.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77ce1ea48190b283cae7bb9b72eb completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4a6a7988190b9beec3f0d9494d1 completed March 21, 2026, 4:17 p.m.
Created at: March 20, 2026, 1:41 p.m.