Triple

T11824615
Position Surface form Disambiguated ID Type / Status
Subject Rikki-Tikki-Tavi E281226 entity
Predicate kills P19780 FINISHED
Object Nag E948473 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: Nag | Statement: [Rikki-Tikki-Tavi, kills, Nag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nag
Context triple: [Rikki-Tikki-Tavi, kills, Nag]
  • A. Nag chosen
    Nag is a deadly male cobra and primary antagonist in Rudyard Kipling’s short story “Rikki-Tikki-Tavi,” plotting with his mate Nagaina to kill the human family and their mongoose protector.
  • B. Nagu
    Nagu is an island and former municipality in the Turku archipelago of southwestern Finland, known for its coastal scenery and popular boating and summer tourism.
  • C. Nagapasha
    Nagapasha is a mythical serpent-noose weapon from Hindu epics, famed for binding its targets with powerful, inescapable snake bonds.
  • D. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • E. Mazani
    Mazani is an alternative name for the Mazanderani language, an Iranian language spoken primarily along the southern coast of the Caspian Sea in northern Iran.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5eb299481909de3c0e85628fbe4 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1671989f88190b8c1fb520435a25e completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:43 p.m.