Triple

T2811313
Position Surface form Disambiguated ID Type / Status
Subject St. Martin's Cathedral, Utrecht E54176 entity
Predicate alsoKnownAs P39 FINISHED
Object Domkerk
Domkerk is the historic Gothic cathedral in Utrecht that once served as the seat of the bishop and remains one of the city's most prominent landmarks.
 E302219 NE FINISHED

How this triple was built (4 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: Domkerk | Statement: [St. Martin's Cathedral, Utrecht, alsoKnownAs, Domkerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Domkerk
Context triple: [St. Martin's Cathedral, Utrecht, alsoKnownAs, Domkerk]
  • A. Grijpskerk
    Grijpskerk is a village in the Dutch province of Groningen, known historically as a local agricultural and railway hub.
  • B. Oostkerk
    Oostkerk is a historic domed Protestant church in the Dutch city of Middelburg, known for its distinctive centralised Baroque architecture.
  • C. Ridderkerk
    Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
  • D. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • E. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Domkerk
Triple: [St. Martin's Cathedral, Utrecht, alsoKnownAs, Domkerk]
Generated description
Domkerk is the historic Gothic cathedral in Utrecht that once served as the seat of the bishop and remains one of the city's most prominent landmarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Domkerk
Target entity description: Domkerk is the historic Gothic cathedral in Utrecht that once served as the seat of the bishop and remains one of the city's most prominent landmarks.
  • A. Grijpskerk
    Grijpskerk is a village in the Dutch province of Groningen, known historically as a local agricultural and railway hub.
  • B. Oostkerk
    Oostkerk is a historic domed Protestant church in the Dutch city of Middelburg, known for its distinctive centralised Baroque architecture.
  • C. Ridderkerk
    Ridderkerk is a town and municipality in the western Netherlands, situated near Rotterdam in the province of South Holland.
  • D. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • E. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • F. None of above. chosen

Provenance (5 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde354a5881908cd3d545f7dda81c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9a76388190a5dce756de2eb59f completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afd0b179ac8190a260003b9a457180 completed March 10, 2026, 8:05 a.m.
NED2 Entity disambiguation (via description) batch_69afd10b07748190935cce94cd9b2a13 completed March 10, 2026, 8:06 a.m.
Created at: March 6, 2026, 9:59 p.m.