Triple

T5448304
Position Surface form Disambiguated ID Type / Status
Subject The Tower of London E122304 entity
Predicate part P3120 FINISHED
Object White Tower E117902 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: White Tower | Statement: [The Tower of London, part, White Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Tower
Context triple: [The Tower of London, part, White Tower]
  • A. White Tower
    The White Tower is a prominent Renaissance-era bell tower and landmark in the historic center of Hradec Králové in the Czech Republic.
  • B. White Tower chosen
    The White Tower is the central Norman keep of the Tower of London, historically serving as a royal residence, fortress, and symbol of royal authority.
  • C. White Tower
    The White Tower is a historic neo-Gothic tower and former imperial leisure pavilion located within the palace-and-park ensemble of Tsarskoye Selo near St. Petersburg, Russia.
  • D. City of Dreaming Spires
    City of Dreaming Spires is a poetic nickname for Oxford, England, evoking its skyline of historic university towers and spires.
  • E. City of a Hundred Spires
    City of a Hundred Spires is a poetic nickname for Prague, highlighting its skyline filled with historic church towers and spires.
  • 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91dbfd948190977513cf274af417 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4137ecf881908f3f036457b59281 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:07 p.m.