Triple

T5814671
Position Surface form Disambiguated ID Type / Status
Subject Knutsford E128954 entity
Predicate hasNearbyEstate P28403 FINISHED
Object Mere
Mere is a village and civil parish in Cheshire, England, known for its affluent residential character and proximity to the town of Knutsford.
 E547023 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: Mere | Statement: [Knutsford, hasNearbyEstate, Mere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mere
Context triple: [Knutsford, hasNearbyEstate, Mere]
  • A. Mera
    Mera is a powerful Atlantean warrior and sorceress from DC Comics, best known as Aquaman’s ally and queen of Atlantis.
  • B. Ménaka
    Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • C. Marella
    Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
  • D. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • E. Mylasa
    Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
  • 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: Mere
Triple: [Knutsford, hasNearbyEstate, Mere]
Generated description
Mere is a village and civil parish in Cheshire, England, known for its affluent residential character and proximity to the town of Knutsford.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mere
Target entity description: Mere is a village and civil parish in Cheshire, England, known for its affluent residential character and proximity to the town of Knutsford.
  • A. Mera
    Mera is a powerful Atlantean warrior and sorceress from DC Comics, best known as Aquaman’s ally and queen of Atlantis.
  • B. Ménaka
    Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • C. Marella
    Marella is an Italian feminine given name, notably borne by Marella Agnelli, a prominent socialite, art collector, and style icon.
  • D. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • E. Mylasa
    Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03361c79081908baf872821e79983 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0984c5f14819096dfabce4a83e332 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c098d889e08190adbd12504a7f3fa1 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c0999358248190b6ade63ded2eaa56 completed March 23, 2026, 1:38 a.m.
Created at: March 22, 2026, 3:53 p.m.