Triple

T27797533
Position Surface form Disambiguated ID Type / Status
Subject Anglo-Italian Cup E702154 entity
Predicate hadProfessionalEra P27785 FINISHED
Object 1970–1973 LITERAL FINISHED

How this triple was built (2 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: 1970–1973 | Statement: [Anglo-Italian Cup, hadProfessionalEra, 1970–1973]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadProfessionalEra
Context triple: [Anglo-Italian Cup, hadProfessionalEra, 1970–1973]
  • A. playedWithEra
    Indicates that an entity performed or was active during a specified historical or stylistic era.
  • B. refersToEraOfCareer
    Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
  • C. professionalEra chosen
    Indicates the time period during which an entity was active in a professional capacity within a given field or role.
  • D. livedInEra
    Indicates that an entity existed or was active during a particular historical era or time period.
  • E. hasEraInfluence
    Indicates that one era or time period has a significant impact on shaping the characteristics, developments, or outcomes of another.
  • F. None of above.

Provenance (3 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_69ef8408e0588190977cffa32dc33a29 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f6380c776c8190afe636c9e65301a0 completed May 2, 2026, 5:44 p.m.
PD Predicate disambiguation batch_69f6318ae6f08190b3f85f9201046a15 completed May 2, 2026, 5:16 p.m.
Created at: April 27, 2026, 5:32 p.m.