Triple

T19309868
Position Surface form Disambiguated ID Type / Status
Subject Rishyamukha mountain E482935 entity
Predicate locatedIn P40 FINISHED
Object Kishkindha NE NERFINISHED

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: [Rishyamukha mountain, locatedIn, Kishkindha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kishkindha
Context triple: [Rishyamukha mountain, locatedIn, 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. Savadatti
    Savadatti is a historic town in Karnataka, India, known for its ancient temples and hilltop fort.
  • D. Singhwara
    Singhwara is a town located in the Darbhanga district of the Indian state of Bihar.
  • E. Kadaru
    Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604cc62e08190b5ba5dfc44efdc5c completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:32 p.m.