Triple

T19706555
Position Surface form Disambiguated ID Type / Status
Subject St Martin’s Church E473229 entity
Predicate hasPart P35 FINISHED
Object Carfax Tower NE NERFINISHED

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: Carfax Tower | Statement: [St Martin’s Church, hasPart, Carfax Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carfax Tower
Context triple: [St Martin’s Church, hasPart, Carfax Tower]
  • A. Carfax Tower chosen
    Carfax Tower is a historic medieval bell tower and prominent city landmark located at the central crossroads of Oxford, England.
  • B. Crockfords Tower
    Crockfords Tower is a luxury all-suite hotel within Resorts World Sentosa on Singapore’s Sentosa Island, known for its exclusive, high-end accommodations and personalized service.
  • C. Reginald Tower
    Reginald Tower was a British diplomat and colonial administrator who became notable for overseeing the Free City of Danzig under the League of Nations after World War I.
  • D. Courthouse Towers
    Courthouse Towers is a prominent cluster of towering sandstone formations in Arches National Park, known for its sheer vertical cliffs and dramatic desert scenery.
  • E. Wood Tower
    Wood Tower is a historic medieval watchtower and former city gate located in the German city of Mainz along the Rhine River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642bb5cd4819090e4c62bd74c4324 completed April 20, 2026, 3:14 p.m.
Created at: April 10, 2026, 1:46 p.m.