Triple

T18042696
Position Surface form Disambiguated ID Type / Status
Subject Irish Civil Service E431688 entity
Predicate hasUnionRepresentation P11924 FINISHED
Object Fórsa
Fórsa is one of Ireland’s largest trade unions, representing public and civil service workers across a wide range of sectors.
 E1302654 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: Fórsa | Statement: [Irish Civil Service, hasUnionRepresentation, Fórsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fórsa
Context triple: [Irish Civil Service, hasUnionRepresentation, Fórsa]
  • A. Faist
    Faist is a surname most notably associated with American actor Mike Faist, known for his work on stage and in film.
  • B. Svíar
    Svíar are the Old Norse term for the Svear, an early North Germanic people who inhabited central Sweden and played a key role in the formation of the Swedish kingdom.
  • C. Strendur
    Strendur is a village and important local settlement on the island of Eysturoy in the Faroe Islands.
  • D. Lofn
    Lofn is a lesser-known Norse goddess associated with gentleness and the sanctioning of forbidden or difficult loves among the Aesir.
  • E. Farsta
    Farsta is a suburban district in southern Stockholm, Sweden, known for its residential areas, shopping center, and metro connections to the city center.
  • 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: Fórsa
Triple: [Irish Civil Service, hasUnionRepresentation, Fórsa]
Generated description
Fórsa is one of Ireland’s largest trade unions, representing public and civil service workers across a wide range of sectors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fórsa
Target entity description: Fórsa is one of Ireland’s largest trade unions, representing public and civil service workers across a wide range of sectors.
  • A. Faist
    Faist is a surname most notably associated with American actor Mike Faist, known for his work on stage and in film.
  • B. Svíar
    Svíar are the Old Norse term for the Svear, an early North Germanic people who inhabited central Sweden and played a key role in the formation of the Swedish kingdom.
  • C. Strendur
    Strendur is a village and important local settlement on the island of Eysturoy in the Faroe Islands.
  • D. Lofn
    Lofn is a lesser-known Norse goddess associated with gentleness and the sanctioning of forbidden or difficult loves among the Aesir.
  • E. Farsta
    Farsta is a suburban district in southern Stockholm, Sweden, known for its residential areas, shopping center, and metro connections to the city center.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bfef454c8190ad3787502f2bdd34 completed April 19, 2026, 11:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0349b8930c8190bbd871393b4b949e completed May 12, 2026, 3:39 p.m.
NEDg Description generation batch_6a034b0817408190817e4a3ee0003d57 completed May 12, 2026, 3:45 p.m.
NED2 Entity disambiguation (via description) batch_6a034bdf5c808190ac329e663e220f1b completed May 12, 2026, 3:48 p.m.
Created at: April 10, 2026, 10:25 a.m.