Triple

T20545317
Position Surface form Disambiguated ID Type / Status
Subject Moindou E504454 entity
Predicate hasAdministrativeCentre P1474 FINISHED
Object Moindou (village) 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: Moindou (village) | Statement: [Moindou, hasAdministrativeCentre, Moindou (village)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moindou (village)
Context triple: [Moindou, hasAdministrativeCentre, Moindou (village)]
  • A. Moindou chosen
    Moindou is a small rural commune in the South Province of New Caledonia, known for its agricultural activities and historic penal colony sites.
  • B. Mindouli
    Mindouli is a town in the Republic of the Congo known as an administrative and transport hub in the Pool Department near the border with the Democratic Republic of the Congo.
  • C. Mourle
    Mourle is an alternative name for the Murle language spoken by the Murle people of South Sudan and neighboring regions.
  • D. Mopa village
    Mopa village is a settlement in North Goa, India, best known as the site of the state’s Manohar International Airport.
  • E. Midouze
    Midouze is a river in southwestern France that flows through the Landes region before joining the Adour.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a29684648190969d8fc23743e288 completed April 20, 2026, 10:03 p.m.
Created at: April 16, 2026, 11:38 a.m.