Triple

T28984663
Position Surface form Disambiguated ID Type / Status
Subject 1977–78 Biathlon World Cup E734644 entity
Predicate overallTitleAwarded P166087 FINISHED
Object Overall World Cup
The Overall World Cup is the season-long biathlon title awarded to the athlete with the best cumulative performance across all World Cup events.
 E1844986 NE FINISHED

How this triple was built (3 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: Overall World Cup | Statement: [1977–78 Biathlon World Cup, overallTitleAwarded, Overall World Cup]
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: Overall World Cup
Triple: [1977–78 Biathlon World Cup, overallTitleAwarded, Overall World Cup]
Generated description
The Overall World Cup is the season-long biathlon title awarded to the athlete with the best cumulative performance across all World Cup events.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: overallTitleAwarded
Context triple: [1977–78 Biathlon World Cup, overallTitleAwarded, Overall World Cup]
  • A. awardsTitle
    Indicates that an entity confers or grants a specific title or honorific designation to another entity.
  • B. hasTitleHolderAward
    Indicates that an entity holds or has been granted a specific title-related award.
  • C. holderAwardedFor
    Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
  • D. mainAwardWinner
    Indicates that the subject is the primary recipient of a specified award or honor.
  • E. awardFor
    Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
  • F. None of above. chosen

Provenance (7 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_69f05b0dd9b481908b7901e1c95ff6b2 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65f78c4d08190b68ee2b2fed19fff completed May 2, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2505b1c6748190b819868532fc5ce2 completed June 7, 2026, 5:46 a.m.
NEDg Description generation batch_6a2509f0d7048190b5cc1971e6503653 completed June 7, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a250e35cb2c81909d7632be22680434 completed June 7, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69f659d02f1c8190831758ac52bb54e4 completed May 2, 2026, 8:08 p.m.
PDg Predicate description generation batch_69f65b136b30819090cf59fb772f35f1 completed May 2, 2026, 8:14 p.m.
Created at: April 28, 2026, 9:13 a.m.