Triple

T19127015
Position Surface form Disambiguated ID Type / Status
Subject Austrian Trade Union Federation E468208 entity
Predicate shortName P43 FINISHED
Object ÖGB
ÖGB is Austria’s national umbrella organization representing and coordinating the country’s trade unions and workers’ interests.
 E1359655 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: ÖGB | Statement: [Austrian Trade Union Federation, shortName, ÖGB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ÖGB
Context triple: [Austrian Trade Union Federation, shortName, ÖGB]
  • A. ÖGD
    ÖGD is the commonly used abbreviation for the German public health service, encompassing local and regional health authorities responsible for population health and disease prevention.
  • B. OEGN
    OEGN is the ICAO airport code for Jazan Regional Airport, a civil aviation facility serving the Jazan region in southwestern Saudi Arabia.
  • C. OZG
    OZG is the IATA airport code for Zagora Airport, a public airport serving the Zagora region in Morocco.
  • D. OBO
    OBO is the three-letter IATA airport code assigned to Tokachi-Obihiro Airport in Hokkaido, Japan.
  • E. OBA
    OBA is the main public library organization of Amsterdam, known for its large central library and network of branches offering books, media, and cultural programs to residents and visitors.
  • 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: ÖGB
Triple: [Austrian Trade Union Federation, shortName, ÖGB]
Generated description
ÖGB is Austria’s national umbrella organization representing and coordinating the country’s trade unions and workers’ interests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ÖGB
Target entity description: ÖGB is Austria’s national umbrella organization representing and coordinating the country’s trade unions and workers’ interests.
  • A. ÖGD
    ÖGD is the commonly used abbreviation for the German public health service, encompassing local and regional health authorities responsible for population health and disease prevention.
  • B. OEGN
    OEGN is the ICAO airport code for Jazan Regional Airport, a civil aviation facility serving the Jazan region in southwestern Saudi Arabia.
  • C. OZG
    OZG is the IATA airport code for Zagora Airport, a public airport serving the Zagora region in Morocco.
  • D. OBO
    OBO is the three-letter IATA airport code assigned to Tokachi-Obihiro Airport in Hokkaido, Japan.
  • E. OBA
    OBA is the main public library organization of Amsterdam, known for its large central library and network of branches offering books, media, and cultural programs to residents and visitors.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3cd851081909d5665b362ae08de completed April 20, 2026, 8:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e67b296c81909818a4c71380fa98 completed May 14, 2026, 3:12 p.m.
NEDg Description generation batch_6a05e9aaa85c81909bdc81145d415716 completed May 14, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_6a05ea46a9588190846c5a1b8f2bfc12 completed May 14, 2026, 3:29 p.m.
Created at: April 10, 2026, 12:05 p.m.