Triple

T8686596
Position Surface form Disambiguated ID Type / Status
Subject Bender E206173 entity
Predicate hasLandmark P105 FINISHED
Object Bender Fortress E206173 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: Bender Fortress | Statement: [Bender, hasLandmark, Bender Fortress]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bender Fortress
Context triple: [Bender, hasLandmark, Bender Fortress]
  • A. Bender
    Bender is a common German-origin surname borne by various notable individuals across fields such as entertainment, sports, and politics.
  • B. Bender
    Bender was a Hall of Fame Major League Baseball pitcher from the early 20th century, best known for his success with the Philadelphia Athletics.
  • C. Bender chosen
    Bender is a historic city in eastern Moldova, known for its strategic location on the Dniester River and its prominent fortress.
  • D. BenderSpink
    BenderSpink was an American film and television production company known for developing and producing a range of Hollywood genre and comedy projects.
  • E. Robby the Robot
    Robby the Robot is an iconic 1950s science fiction robot character, renowned for its advanced design and influential role in shaping the portrayal of robots in popular culture.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5730309081909a9a0256c9bf5f8f completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf515edd7481909d73c2991a71de0e completed April 3, 2026, 5:34 a.m.
Created at: March 30, 2026, 6:33 p.m.