Triple

T18301615
Position Surface form Disambiguated ID Type / Status
Subject Digital UNIX E438369 entity
Predicate supports P516 FINISHED
Object NIS 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: NIS | Statement: [Digital UNIX, supports, NIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NIS
Context triple: [Digital UNIX, supports, 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. NIS
    NIS is the ICAO airline designator assigned to La Costeña, a regional airline based in Nicaragua.
  • E. NINS
    NINS is a Japanese inter-university research corporation that oversees and coordinates several national institutes dedicated to advanced research in the natural sciences.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017f63dc819083a675d570620f2f completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.