Triple

T10767235
Position Surface form Disambiguated ID Type / Status
Subject Sailing to Byzantium E253984 entity
Predicate firstPublishedIn P309 FINISHED
Object The Tower E253986 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 Tower | Statement: [Sailing to Byzantium, firstPublishedIn, The Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Tower
Context triple: [Sailing to Byzantium, firstPublishedIn, The Tower]
  • A. The Tower
    The Tower is the famous historic castle complex on the north bank of the River Thames in London, renowned for its role as a royal palace, prison, and fortress.
  • B. The Tower chosen
    The Tower is a 1928 poetry collection by W.B. Yeats that reflects his mature style, blending Irish myth, personal reflection, and meditations on aging and artistic legacy.
  • C. The Tower
    The Tower is a film featuring Russian actress Svetlana Khodchenkova in a prominent role.
  • D. Nieuwe Toren
    Nieuwe Toren is a historic clock and bell tower in the Dutch city of Kampen, known as a prominent landmark in its old town skyline.
  • E. Post Tower
    Post Tower is a prominent high-rise office building in Bonn, Germany, serving as the headquarters of Deutsche Post DHL Group and standing as one of the city's most recognizable modern landmarks.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d7322eb2f08190999e09428e7f7ba8 completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de236d0a78819090774656b7b492e5 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.