Triple

T4623567
Position Surface form Disambiguated ID Type / Status
Subject Jose Canseco E101041 entity
Predicate teamIn1988 P8967 FINISHED
Object Oakland Athletics E20763 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: Oakland Athletics | Statement: [Jose Canseco, teamIn1988, Oakland Athletics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakland Athletics
Context triple: [Jose Canseco, teamIn1988, Oakland Athletics]
  • A. Oakland Athletics chosen
    The Oakland Athletics are a Major League Baseball team based in Oakland, California, known for their rich history of championships and innovative, analytics-driven approach to the game.
  • B. San Diego Mariners
    The San Diego Mariners were a professional ice hockey team based in San Diego, California that competed in the World Hockey Association during the 1970s.
  • C. Kansas City Royals
    The Kansas City Royals are a Major League Baseball team known for their World Series championships in 1985 and 2015.
  • D. Oakland Stompers
    The Oakland Stompers were a short-lived professional soccer team that competed in the North American Soccer League in the late 1970s.
  • E. Sox
    Sox is the robotic cat companion character from Pixar's animated film "Lightyear," known for his humorous and endearing support of the protagonist.
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a053d38819097b3ecbc06aa6e4d completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69be399de7248190ba4cde67ff4cbff4 completed March 21, 2026, 6:24 a.m.
Created at: March 20, 2026, 1:13 p.m.