Triple

T9747916
Position Surface form Disambiguated ID Type / Status
Subject HPE Nimble Storage E236363 entity
Predicate supportsProtocol P203 FINISHED
Object NFS E37337 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: NFS | Statement: [HPE Nimble Storage, supportsProtocol, NFS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NFS
Context triple: [HPE Nimble Storage, supportsProtocol, NFS]
  • A. NFS chosen
    NFS (Network File System) is a distributed file system protocol that allows users to access files over a network as if they were on local storage.
  • B. XNAS
    XNAS is the market identifier code for the NASDAQ Stock Market, a major U.S.-based electronic securities exchange.
  • C. NAS
    NAS (Nuclei Antisofisticazioni e Sanità) is a specialized unit of the Italian Carabinieri responsible for protecting public health by combating food, pharmaceutical, and health-related fraud and violations.
  • D. NAS
    NAS is the commonly used abbreviation for Canada’s National Airports System, which comprises the country’s major airports of national significance.
  • E. NAS
    NAS is the stock ticker symbol for Norwegian Air Shuttle, a major low-cost airline based in Norway.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f68f8b88190b44babf5ae17dfef completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b00d76488190af68cba694dc329c completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:23 p.m.