Triple

T7325104
Position Surface form Disambiguated ID Type / Status
Subject Lotte Orions E168850 entity
Predicate predecessorOf P97 FINISHED
Object Chiba Lotte Marines E159262 NE 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: Chiba Lotte Marines | Statement: [Lotte Orions, predecessorOf, Chiba Lotte Marines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiba Lotte Marines
Context triple: [Lotte Orions, predecessorOf, Chiba Lotte Marines]
  • A. Chiba Lotte Marines chosen
    The Chiba Lotte Marines are a professional Japanese baseball team based in Chiba City that competes in the Pacific League.
  • B. Hiroshima Toyo Carp
    Hiroshima Toyo Carp is a professional Japanese baseball team based in Hiroshima that competes in Nippon Professional Baseball.
  • C. Yokohama DeNA BayStars
    The Yokohama DeNA BayStars are a professional Japanese baseball team in Nippon Professional Baseball’s Central League, based in Yokohama and owned by DeNA.
  • D. Nippon Ham
    Nippon Ham is a major Japanese food company best known for producing and distributing meat and processed food products.
  • E. Lotte Giants
    Lotte Giants are a professional baseball team based in Busan, South Korea, competing in the KBO League and known for their passionate fanbase and long history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68a54cacc81908e3b773441f19566 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f04993408190b73fb46d83a632d5 completed March 27, 2026, 9:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802ae19d88190a2f7997a6f3dfb1e completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:03 p.m.