Triple

T3587418
Position Surface form Disambiguated ID Type / Status
Subject Binnenstad E75944 entity
Predicate contains P35 FINISHED
Object Dom Church E285138 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: Dom Church | Statement: [Binnenstad, contains, Dom Church]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dom Church
Context triple: [Binnenstad, contains, Dom Church]
  • A. Dom Church chosen
    Dom Church is a historic Gothic cathedral in Utrecht, Netherlands, renowned for its towering Dom Tower and former status as the seat of the Diocese of Utrecht.
  • B. Malate Church
    Malate Church is a historic Spanish-era Roman Catholic church in the Malate district of Manila, Philippines, known for its baroque architecture and prominent location facing Manila Bay.
  • C. Gemarke Church
    Gemarke Church is a notable Christian church located in the Barmen district of Wuppertal, Germany.
  • D. Round Church
    Round Church is a distinctive Norman-era, circular stone church in Cambridge, England, and one of the city’s most recognizable historic landmarks.
  • E. Lady Holy Church
    Lady Holy Church is an allegorical figure in the Middle English poem "Piers Plowman," representing the spiritual authority and moral guidance of the Christian Church.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc13a11608190a23d76efc1b50e3c completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4030088548190adbb029be1caeb81 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:22 p.m.