Triple

T21131984
Position Surface form Disambiguated ID Type / Status
Subject municipality of Oss E520709 entity
Predicate contains P35 FINISHED
Object Macharen 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: Macharen | Statement: [municipality of Oss, contains, Macharen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macharen
Context triple: [municipality of Oss, contains, Macharen]
  • A. Macharen chosen
    Macharen is a small village in the Dutch province of North Brabant that forms part of the municipality of Oss.
  • B. Macharaviaya
    Macharaviaya is a small historic village in the province of Málaga, Spain, known for its association with the Gálvez family and its colonial-era heritage.
  • C. Machang
    Machang is a town and administrative district in the Malaysian state of Kelantan, known for its semi-urban character and role as a local commercial and educational hub.
  • D. Machi
    Machi are Mapuche spiritual leaders and healers who perform rituals, provide medicinal treatment, and mediate between the human and spiritual worlds.
  • E. Machaon
    Machaon is a figure from Greek mythology, renowned as a skilled healer and son of the legendary physician Asclepius.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235668e081909bd810016ba2dd8e completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:56 p.m.