Triple

T38509993
Position Surface form Disambiguated ID Type / Status
Subject Baby Bombers E921876 entity
Predicate establishedAsNicknameFor P37280 FINISHED
Object Staten Island Yankees franchise founded in 1999 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: Staten Island Yankees franchise founded in 1999 | Statement: [Baby Bombers, establishedAsNicknameFor, Staten Island Yankees franchise founded in 1999]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: establishedAsNicknameFor
Context triple: [Baby Bombers, establishedAsNicknameFor, Staten Island Yankees franchise founded in 1999]
  • A. isOfficialNicknameOf chosen
    Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
  • B. nicknamedFor
    Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
  • C. dedicatedToOrNicknameOf
    Indicates that one entity is either the dedicatee of something (e.g., a work, object, or honor) or serves as an alternative name or nickname for another entity.
  • D. hasNicknames
    Indicates that an entity is known or referred to by one or more alternative informal names.
  • E. usedAsNicknameSince
    Indicates that one entity has been used as a nickname for another entity starting from a specified point in time.
  • 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_69f76ea3c5448190aa7002fc1ba3f874 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd553d7cb881908d243e7a9f30ac85 completed May 8, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69fd514dcb1c81908333c70d7edd79c9 completed May 8, 2026, 2:58 a.m.
Created at: May 3, 2026, 4:32 p.m.