Triple

T5353235
Position Surface form Disambiguated ID Type / Status
Subject Örgryte IS E102626 entity
Predicate shortName P43 FINISHED
Object ÖIS
ÖIS is a Swedish sports club best known for its historic football team based in Gothenburg.
 E513336 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: ÖIS | Statement: [Örgryte IS, shortName, ÖIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ÖIS
Context triple: [Örgryte IS, shortName, ÖIS]
  • A. OEI
    OEI is the Spanish-Portuguese acronym for the Organization of Ibero-American States, an international body that promotes cooperation in education, science, and culture among Ibero-American countries.
  • B. OEI
    OEI is the Office of Environmental Information within the U.S. Environmental Protection Agency, responsible for managing environmental data, information policy, and related technology systems.
  • C. OESM
    OESM is the Office of Enterprise Strategy Management within the Federal Acquisition Service, responsible for guiding strategic planning and organizational performance.
  • D. ÓE
    ÓE is the official abbreviation for Óbuda University, a higher education institution in Budapest, Hungary known for its engineering and technical programs.
  • E. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • 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: ÖIS
Triple: [Örgryte IS, shortName, ÖIS]
Generated description
ÖIS is a Swedish sports club best known for its historic football team based in Gothenburg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ÖIS
Target entity description: ÖIS is a Swedish sports club best known for its historic football team based in Gothenburg.
  • A. OEI
    OEI is the Spanish-Portuguese acronym for the Organization of Ibero-American States, an international body that promotes cooperation in education, science, and culture among Ibero-American countries.
  • B. OEI
    OEI is the Office of Environmental Information within the U.S. Environmental Protection Agency, responsible for managing environmental data, information policy, and related technology systems.
  • C. OESM
    OESM is the Office of Enterprise Strategy Management within the Federal Acquisition Service, responsible for guiding strategic planning and organizational performance.
  • D. ÓE
    ÓE is the official abbreviation for Óbuda University, a higher education institution in Budapest, Hungary known for its engineering and technical programs.
  • E. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86149774819084049a8785e3f2e0 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21dbc540819086aca16af1aa6213 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf227781bc819083b8aba59618cc46 completed March 21, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69bf231d41848190b67de46bdbb38ab3 completed March 21, 2026, 11 p.m.
Created at: March 20, 2026, 2:01 p.m.