Triple

T19428730
Position Surface form Disambiguated ID Type / Status
Subject Trishira E486051 entity
Predicate siblingOf P363 FINISHED
Object Atikaya 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: Atikaya | Statement: [Trishira, siblingOf, Atikaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atikaya
Context triple: [Trishira, siblingOf, Atikaya]
  • A. Atikaya chosen
    Atikaya is a powerful warrior and son of the demon king Ravana in the Hindu epic Ramayana, known for his strength and valor in battle against Rama’s forces.
  • B. Yabghu
    Yabghu was a high-ranking Turkic royal title, often held by semi-autonomous rulers or viceroys within larger steppe empires.
  • C. Korutürk
    Korutürk is a Turkish surname most notably borne by Fahri Korutürk, a former president of Turkey.
  • D. Baskil
    Baskil is a town and district in eastern Turkey known for its location within Elazığ Province and its predominantly rural, agricultural character.
  • E. Kül Tigin
    Kül Tigin was a prominent 8th-century Göktürk prince and military commander celebrated for his role in restoring and strengthening the Second Turkic Khaganate, commemorated in the famous Orkhon inscriptions.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6321b78d08190b86cef7c60cbb61c completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.