Triple

T22038688
Position Surface form Disambiguated ID Type / Status
Subject St Elisabeth Cathedral E544280 entity
Predicate nearby P350 FINISHED
Object Urban 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: Urban Tower | Statement: [St Elisabeth Cathedral, nearby, Urban Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urban Tower
Context triple: [St Elisabeth Cathedral, nearby, Urban Tower]
  • A. Urban Tower chosen
    Urban Tower is a historic Gothic bell tower and prominent architectural landmark located in the center of Košice, Slovakia.
  • B. Incity Tower
    Incity Tower is a prominent modern skyscraper in Lyon, France, known for its distinctive design and role in the city’s business district skyline.
  • C. city towers
    City towers are prominent historic defensive and watchtower structures that characterize the skyline and medieval fortifications of Isny im Allgäu.
  • D. City Tower
    City Tower is a prominent residential skyscraper in Downtown Brooklyn known for its modern high-rise apartments and amenities.
  • E. Metro Tower
    Metro Tower is a prominent landmark skyscraper in Metro City, recognized as one of its most notable architectural features.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127f42b48819095b04bad34e0e3c4 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:25 p.m.