Triple

T7894521
Position Surface form Disambiguated ID Type / Status
Subject The Open Group E183313 entity
Predicate abbreviation P43 FINISHED
Object TOG
TOG is the commonly used abbreviation for The Open Group, an international consortium that develops open, vendor-neutral technology standards and certifications.
 E697433 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: TOG | Statement: [The Open Group, abbreviation, TOG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TOG
Context triple: [The Open Group, abbreviation, TOG]
  • A. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • B. TGO
    TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
  • C. TOL
    TOL is the IATA airport code for Toledo Express Airport, a public airport serving the Toledo, Ohio area in the United States.
  • D. TOL
    TOL is the standard abbreviation for the Toledo Walleye, a professional minor league ice hockey team based in Toledo, Ohio.
  • E. TTO
    TTO is a DARPA office focused on developing and demonstrating high-risk, high-payoff advanced military technologies and systems.
  • 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: TOG
Triple: [The Open Group, abbreviation, TOG]
Generated description
TOG is the commonly used abbreviation for The Open Group, an international consortium that develops open, vendor-neutral technology standards and certifications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TOG
Target entity description: TOG is the commonly used abbreviation for The Open Group, an international consortium that develops open, vendor-neutral technology standards and certifications.
  • A. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • B. TGO
    TGO is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Togo.
  • C. TOL
    TOL is the IATA airport code for Toledo Express Airport, a public airport serving the Toledo, Ohio area in the United States.
  • D. TOL
    TOL is the standard abbreviation for the Toledo Walleye, a professional minor league ice hockey team based in Toledo, Ohio.
  • E. TTO
    TTO is a DARPA office focused on developing and demonstrating high-risk, high-payoff advanced military technologies and systems.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a15a7e88190a05474844817e5d2 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ba9c2ac8190b8faf1518390dff4 completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb5f1e84fc8190b535016cb69405b4 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb76a214488190b90e5db28511daa0 completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:01 p.m.