Triple

T10068546
Position Surface form Disambiguated ID Type / Status
Subject Siemens NX E213158 entity
Predicate supportsStandard P1587 FINISHED
Object IGES E758485 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: IGES | Statement: [Siemens NX, supportsStandard, IGES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IGES
Context triple: [Siemens NX, supportsStandard, IGES]
  • A. IGES chosen
    IGES is a widely used neutral file format standard for exchanging 2D and 3D CAD data between different computer-aided design systems.
  • B. Parasolid
    Parasolid is a widely used geometric modeling kernel developed by Siemens that underpins 3D CAD, CAM, and CAE applications by providing robust solid and surface modeling capabilities.
  • C. EGNX
    EGNX is the ICAO airport code for East Midlands Airport, a major passenger and cargo hub in central England.
  • D. IGIS
    IGIS is the acronym for Australia’s Inspector-General of Intelligence and Security, an independent oversight body that monitors the legality and propriety of the country’s intelligence agencies.
  • E. EGIS
    EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff8d9c08190bc030f1dcc696310 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a96fc888190aec7cd364a0d7fb1 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.