Triple

T21583909
Position Surface form Disambiguated ID Type / Status
Subject M6 E532592 entity
Predicate cableService P48296 FINISHED
Object Numericable 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: Numericable | Statement: [M6, cableService, Numericable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Numericable
Context triple: [M6, cableService, Numericable]
  • A. Numericable (historically) chosen
    Numericable was a major French cable television and broadband provider that played a key role in the development of France’s cable infrastructure before later merging into the telecom group SFR.
  • B. NUMB
    NUMB is the Northwestern University Marching Band, the official marching ensemble that performs at athletic events and university functions.
  • C. NUM
    NUM is a common abbreviation for the National University of Mongolia, the country’s oldest and largest public university and a leading center of higher education and research in Mongolia.
  • D. Numfor
    Numfor is a small Indonesian island in the Papuan Islands archipelago, known for its rich biodiversity and World War II historical significance.
  • E. Noble Numbers
    Noble Numbers is a collection of religious and devotional poems by the 17th-century English lyric poet Robert Herrick.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5f2cc0819095552de70eb2ad8d completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.