Triple

T14086459
Position Surface form Disambiguated ID Type / Status
Subject NIS+ E339009 entity
Predicate predecessor P97 FINISHED
Object NIS E68057 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: NIS | Statement: [NIS+, predecessor, NIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NIS
Context triple: [NIS+, predecessor, NIS]
  • A. NIS
    NIS is the abbreviation of the Nederlandsch-Indische Spoorweg Maatschappij, a historic railway company that operated train services in the former Dutch East Indies (now Indonesia).
  • B. NIS chosen
    NIS (Network Information Service) is a client-server directory service protocol developed by Sun Microsystems to centrally manage and distribute system configuration data such as user and host information across Unix networks.
  • C. NIS
    NIS is NVIDIA Image Scaling, a driver-based spatial upscaling and sharpening technology designed to improve game performance and visual quality.
  • D. NSAS
    NSAS is the ICAO airport code assigned to Ofu Airport in American Samoa.
  • E. NICTS
    NICTS is the government agency responsible for administering courts and tribunals in Northern Ireland.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5edff1b881909ea56dc2429ef2dd completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a3e55c81909b52f618e9076dd2 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.