Triple

T21784876
Position Surface form Disambiguated ID Type / Status
Subject Ham E537808 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Mol 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: Mol | Statement: [Ham, hasNeighbouringMunicipality, Mol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mol
Context triple: [Ham, hasNeighbouringMunicipality, Mol]
  • A. Mol chosen
    Mol is a municipality in the Belgian region of Flanders known for its lakes, nature reserves, and recreational tourism.
  • B. Molek
    Molek is a deity from ancient Near Eastern religions, often associated with child sacrifice and condemned in the Hebrew Bible.
  • C. MOLG
    MOLG is the stock ticker symbol for MOL Global, a Malaysia-based online classifieds and digital payments company.
  • D. MOLIT
    MOLIT is the South Korean government ministry responsible for national land planning, transportation systems, infrastructure development, and urban policy.
  • E. IT-MOL
    IT-MOL is the Italian region code for Molise, a small region in southern Italy.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.