Triple

T14493719
Position Surface form Disambiguated ID Type / Status
Subject Wimlah E359432 entity
Predicate isDistinctFrom P1612 FINISHED
Object Meehni E359431 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: Meehni | Statement: [Wimlah, isDistinctFrom, Meehni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meehni
Context triple: [Wimlah, isDistinctFrom, Meehni]
  • A. Meehni chosen
    Meehni is one of the three iconic sandstone rock pillars known as the Three Sisters in the Blue Mountains of New South Wales, Australia.
  • B. Mehunaise
    Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
  • C. Loghoma
    Loghoma is an alternative name for the Loma people, an ethnic group primarily found in Liberia and neighboring West African regions.
  • D. Memeza
    Memeza is a hugely popular 1997 Afro-pop album by South African singer Brenda Fassie, known for its powerful vocals and socially conscious themes.
  • E. Kousba
    Kousba is a town in northern Lebanon located in the Koura District, known for its olive groves and traditional Lebanese rural character.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930f34d08190b4b30e54e2f702ed completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9544cc81908105554f212a9b8c completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.