Triple

T9557362
Position Surface form Disambiguated ID Type / Status
Subject Maer church E230572 entity
Predicate locatedIn P40 FINISHED
Object Maer
Maer is a small rural village in Staffordshire, England, known for its historic parish church and picturesque countryside setting.
 E806428 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: Maer | Statement: [Maer church, locatedIn, Maer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maer
Context triple: [Maer church, locatedIn, Maer]
  • A. Ellgau
    Ellgau is a small municipality in the Swabian region of Bavaria in southern Germany.
  • B. Rhynern
    Rhynern is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
  • C. Whitemere
    Whitemere is a natural mere (shallow lake) in Shropshire, England, known as one of the smaller lakes within the Ellesmere meres system.
  • D. Drimnin
    Drimnin is a small coastal settlement on the Morvern peninsula in the Scottish Highlands, historically associated with the Clan Maclean.
  • E. Wenvoe
    Wenvoe is a village in the Vale of Glamorgan, Wales, known for its rural character and proximity to Cardiff.
  • 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: Maer
Triple: [Maer church, locatedIn, Maer]
Generated description
Maer is a small rural village in Staffordshire, England, known for its historic parish church and picturesque countryside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maer
Target entity description: Maer is a small rural village in Staffordshire, England, known for its historic parish church and picturesque countryside setting.
  • A. Ellgau
    Ellgau is a small municipality in the Swabian region of Bavaria in southern Germany.
  • B. Rhynern
    Rhynern is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
  • C. Whitemere
    Whitemere is a natural mere (shallow lake) in Shropshire, England, known as one of the smaller lakes within the Ellesmere meres system.
  • D. Drimnin
    Drimnin is a small coastal settlement on the Morvern peninsula in the Scottish Highlands, historically associated with the Clan Maclean.
  • E. Wenvoe
    Wenvoe is a village in the Vale of Glamorgan, Wales, known for its rural character and proximity to Cardiff.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9946c7b8819082f3a4ec4fc979e6 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15296303c8190adda4b24036d9390 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1539bad8481909f9bd060aa3b651c completed April 4, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69d154567f408190a848eea4ca905fb6 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.