Triple

T9723680
Position Surface form Disambiguated ID Type / Status
Subject Zweibrücken E235546 entity
Predicate hasLandmark P105 FINISHED
Object Alexander Church
Alexander Church is a notable historic church and architectural landmark located in the German town of Zweibrücken.
 E817353 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: Alexander Church | Statement: [Zweibrücken, hasLandmark, Alexander Church]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alexander Church
Context triple: [Zweibrücken, hasLandmark, Alexander Church]
  • A. Stephen Church
    Stephen Church is an entrepreneur best known as the founder of the company or organization named Church’s.
  • B. Welby
    Welby is the middle name of Edward Welby Pugin, a prominent 19th-century English architect known for his Gothic Revival church designs.
  • C. Court Church
    Court Church is a prominent Gothic royal church in Innsbruck, Austria, best known for its elaborate cenotaph of Emperor Maximilian I surrounded by life-size bronze statues.
  • D. Samuel Church
    Samuel Church is a notable individual who bears the English surname "Church," recognized for his significance among people with that family name.
  • E. Martin Pope
    Martin Pope is a film and television producer known for his work on acclaimed British and international productions.
  • 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: Alexander Church
Triple: [Zweibrücken, hasLandmark, Alexander Church]
Generated description
Alexander Church is a notable historic church and architectural landmark located in the German town of Zweibrücken.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alexander Church
Target entity description: Alexander Church is a notable historic church and architectural landmark located in the German town of Zweibrücken.
  • A. Stephen Church
    Stephen Church is an entrepreneur best known as the founder of the company or organization named Church’s.
  • B. Welby
    Welby is the middle name of Edward Welby Pugin, a prominent 19th-century English architect known for his Gothic Revival church designs.
  • C. Court Church
    Court Church is a prominent Gothic royal church in Innsbruck, Austria, best known for its elaborate cenotaph of Emperor Maximilian I surrounded by life-size bronze statues.
  • D. Samuel Church
    Samuel Church is a notable individual who bears the English surname "Church," recognized for his significance among people with that family name.
  • E. Martin Pope
    Martin Pope is a film and television producer known for his work on acclaimed British and international productions.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e77096481908ffd315fecb1d5ec completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19faa064081909c1d23044984a17c completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a3cc5420819091ee338da5afe4b7 completed April 4, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69d1a5f265148190af432e3640221a33 completed April 4, 2026, 11:59 p.m.
Created at: March 30, 2026, 8:20 p.m.