Triple

T6648092
Position Surface form Disambiguated ID Type / Status
Subject Blue Tower E150751 entity
Predicate near P350 FINISHED
Object Orange Tower E149175 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: Orange Tower | Statement: [Blue Tower, near, Orange Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange Tower
Context triple: [Blue Tower, near, Orange Tower]
  • A. Orange Tower chosen
    Orange Tower is one of the main BBC office and studio buildings at the MediaCityUK complex in Salford, England.
  • B. Central Place Tower
    Central Place Tower is a prominent mixed-use skyscraper in the Rosslyn neighborhood of Arlington, Virginia, known for its office space, residential units, and observation deck with views of the Washington, D.C. skyline.
  • C. Broel Towers
    Broel Towers are a pair of medieval defensive towers and an iconic historical symbol of the Belgian city of Kortrijk (Courtrai).
  • D. Granovitaya Tower
    Granovitaya Tower is a historic defensive tower that forms part of the medieval Kolomna Kremlin fortress in Russia.
  • E. Hrelyo Tower
    Hrelyo Tower is a medieval defensive and residential tower within Bulgaria’s Rila Monastery complex, notable for its fortified architecture and historical significance.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01eb9148190a3f462e57c7556c2 completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79642508190a2e3810e347f2e93 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2 p.m.