Triple

T8823157
Position Surface form Disambiguated ID Type / Status
Subject PTC Creo E209952 entity
Predicate supportsFileFormat P8463 FINISHED
Object IGES
IGES is a widely used neutral file format standard for exchanging 2D and 3D CAD data between different computer-aided design systems.
E758485 NE FINISHED

How this triple was built (4 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: [PTC Creo, supportsFileFormat, IGES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IGES
Context triple: [PTC Creo, supportsFileFormat, IGES]
  • A. EGNX
    EGNX is the ICAO airport code for East Midlands Airport, a major passenger and cargo hub in central England.
  • B. 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.
  • C. EGIS
    EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • D. Siemens NX
    Siemens NX is a high-end computer-aided design, engineering, and manufacturing (CAD/CAM/CAE) software suite widely used for complex product development in industries such as automotive and aerospace.
  • E. INGEMMET
    INGEMMET is Peru’s national geological, mining, and metallurgical institute responsible for studying and monitoring the country’s geological hazards and mineral resources.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: IGES
Triple: [PTC Creo, supportsFileFormat, IGES]
Generated description
IGES is a widely used neutral file format standard for exchanging 2D and 3D CAD data between different computer-aided design systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IGES
Target entity description: IGES is a widely used neutral file format standard for exchanging 2D and 3D CAD data between different computer-aided design systems.
  • A. EGNX
    EGNX is the ICAO airport code for East Midlands Airport, a major passenger and cargo hub in central England.
  • B. 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.
  • C. EGIS
    EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • D. Siemens NX
    Siemens NX is a high-end computer-aided design, engineering, and manufacturing (CAD/CAM/CAE) software suite widely used for complex product development in industries such as automotive and aerospace.
  • E. INGEMMET
    INGEMMET is Peru’s national geological, mining, and metallurgical institute responsible for studying and monitoring the country’s geological hazards and mineral resources.
  • F. None of above. chosen

Provenance (5 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_69ca8364e13081909c85fe80f44fe86f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc6030b25081909d67488b35a72e05 completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cf6fd3b3348190a63bfd29860cc95f completed April 3, 2026, 7:44 a.m.
NEDg Description generation batch_69cf70ca613c8190bcebec47f8cdfc55 completed April 3, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69cf7235c954819096a51e75f2fb6240 completed April 3, 2026, 7:54 a.m.
Created at: March 30, 2026, 6:46 p.m.