Triple

T8445568
Position Surface form Disambiguated ID Type / Status
Subject Östersunds FK E199665 entity
Predicate shortName P43 FINISHED
Object ÖFK
ÖFK is the commonly used abbreviation for Östersunds FK, a Swedish professional football club based in Östersund.
 E734650 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: ÖFK | Statement: [Östersunds FK, shortName, ÖFK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ÖFK
Context triple: [Östersunds FK, shortName, ÖFK]
  • A. OFK
    OFK is a major Indian ordnance manufacturing facility located in Khamaria, Jabalpur, known for producing ammunition and explosives for the armed forces.
  • B. LFOK
    LFOK is the ICAO airport code for Châlons Vatry Airport, a French airport in the Champagne region used for both cargo and passenger operations.
  • C. EFKA
    EFKA is the ICAO airport code assigned to Kauhava Air Base in Finland.
  • D. EFKU
    EFKU is the ICAO airport code for Rissala Air Base in Finland, which serves both military and civilian aviation.
  • E. OEK
    OEK is the commonly used abbreviation for the Palau National Congress, the bicameral legislative body of the Republic of Palau.
  • 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: ÖFK
Triple: [Östersunds FK, shortName, ÖFK]
Generated description
ÖFK is the commonly used abbreviation for Östersunds FK, a Swedish professional football club based in Östersund.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ÖFK
Target entity description: ÖFK is the commonly used abbreviation for Östersunds FK, a Swedish professional football club based in Östersund.
  • A. OFK
    OFK is a major Indian ordnance manufacturing facility located in Khamaria, Jabalpur, known for producing ammunition and explosives for the armed forces.
  • B. LFOK
    LFOK is the ICAO airport code for Châlons Vatry Airport, a French airport in the Champagne region used for both cargo and passenger operations.
  • C. EFKA
    EFKA is the ICAO airport code assigned to Kauhava Air Base in Finland.
  • D. EFKU
    EFKU is the ICAO airport code for Rissala Air Base in Finland, which serves both military and civilian aviation.
  • E. OEK
    OEK is the commonly used abbreviation for the Palau National Congress, the bicameral legislative body of the Republic of Palau.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe3138ee08190918cd82adbe2d9a1 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dac8cb08190b74985a6ba3c938f completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1f3729e4819084600862b53c94a8 completed April 2, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fdde53c8190b356950f878b6b70 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:09 p.m.