Triple

T10429489
Position Surface form Disambiguated ID Type / Status
Subject Sarpsborg 08 FF E245870 entity
Predicate hasAbbreviation P43 FINISHED
Object S08
S08 is the commonly used abbreviation for Sarpsborg 08 FF, a professional football club based in Sarpsborg, Norway.
E863807 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: S08 | Statement: [Sarpsborg 08 FF, hasAbbreviation, S08]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S08
Context triple: [Sarpsborg 08 FF, hasAbbreviation, S08]
  • A. S89
    S89 is a Staten Island bus route in New York City that provides local transit service connecting New Springville with other parts of the borough.
  • B. S8
    S8 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting key cities and suburbs in the area.
  • C. S8
    S8 is a line of the Berlin S-Bahn urban rail network serving various districts across the Berlin metropolitan area.
  • D. S8
    S8 is a Munich S-Bahn suburban rail service that connects central Munich with its surrounding metropolitan areas.
  • E. S85
    S85 is a suburban rail line of the Berlin S-Bahn network serving routes through the German capital and its surrounding areas.
  • 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: S08
Triple: [Sarpsborg 08 FF, hasAbbreviation, S08]
Generated description
S08 is the commonly used abbreviation for Sarpsborg 08 FF, a professional football club based in Sarpsborg, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: S08
Target entity description: S08 is the commonly used abbreviation for Sarpsborg 08 FF, a professional football club based in Sarpsborg, Norway.
  • A. S89
    S89 is a Staten Island bus route in New York City that provides local transit service connecting New Springville with other parts of the borough.
  • B. S8
    S8 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting key cities and suburbs in the area.
  • C. S8
    S8 is a line of the Berlin S-Bahn urban rail network serving various districts across the Berlin metropolitan area.
  • D. S8
    S8 is a Munich S-Bahn suburban rail service that connects central Munich with its surrounding metropolitan areas.
  • E. S85
    S85 is a suburban rail line of the Berlin S-Bahn network serving routes through the German capital and its surrounding areas.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4b4b5881908ae23f8efeea482b completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87eb068bc8190be9c7c916850278e completed April 10, 2026, 4:38 a.m.
NEDg Description generation batch_69d889c45b588190ad103b4bc8cc5fbd completed April 10, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69d88dbbe97c8190861e08f3ff39f91b completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:13 p.m.