Triple

T12307950
Position Surface form Disambiguated ID Type / Status
Subject Royal Palace E293400 entity
Predicate hasPart P35 FINISHED
Object The Armoury E730173 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: The Armoury | Statement: [Royal Palace, hasPart, The Armoury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Armoury
Context triple: [Royal Palace, hasPart, The Armoury]
  • A. The Weapon
    The Weapon is a film featuring American actor Steve Cochran, known for his tough-guy roles in mid-20th-century crime and drama movies.
  • B. Armur
    Armur is a town and municipal center in the Nizamabad district of Telangana, India.
  • C. Rüstkammer chosen
    Rüstkammer is a renowned historical armory and museum collection in Dresden, Germany, showcasing weapons, armor, and courtly artifacts from the Saxon rulers.
  • D. Wooden Arms
    Wooden Arms is a critically acclaimed 2009 album by Canadian singer-songwriter Patrick Watson, known for its atmospheric blend of indie rock, chamber pop, and experimental sounds.
  • E. Iron Arm
    Iron Arm is the nickname of William Iron Arm, a prominent 11th-century Norman adventurer and military leader in southern Italy.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f01ace8819087f245b9216f4dc8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8243d48190baf25b2927de6c62 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.