Triple

T19595251
Position Surface form Disambiguated ID Type / Status
Subject Battle of Lanka E470332 entity
Predicate hasAllyOfProtagonist P30915 FINISHED
Object Angada 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: Angada | Statement: [Battle of Lanka, hasAllyOfProtagonist, Angada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angada
Context triple: [Battle of Lanka, hasAllyOfProtagonist, Angada]
  • A. Angada chosen
    Angada is a heroic Vanara prince in the Indian epic Ramayana, renowned for his loyalty to Rama and his role in the war against Ravana.
  • B. Kalahandi
    Kalahandi is a district in the Indian state of Odisha, known for its agrarian economy, tribal population, and history of both rich cultural heritage and severe drought-related poverty.
  • C. Nikaweratiya
    Nikaweratiya is a town in Sri Lanka’s North Western Province known for its agricultural surroundings and role as a local commercial center.
  • D. Tanguturi
    Tanguturi is the given name of T. Prakasam, a prominent Indian freedom fighter and former Chief Minister of the Madras Presidency and Andhra State.
  • E. Bhailsa
    Bhailsa is the former historical name of Vidisha, an ancient city in the central Indian state of Madhya Pradesh known for its rich archaeological and cultural heritage.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640793cd88190b9b84491bfb2493f completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.