Triple

T3469571
Position Surface form Disambiguated ID Type / Status
Subject Borough of Halton E73220 entity
Predicate containsSettlement P847 FINISHED
Object Moore
Moore is a small village and civil parish in the Borough of Halton in Cheshire, England.
 E361104 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: Moore | Statement: [Borough of Halton, containsSettlement, Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moore
Context triple: [Borough of Halton, containsSettlement, Moore]
  • A. Moore
    Moore is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • B. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • C. Moorehead
    Moorehead is the surname of American actress Agnes Moorehead, renowned for her work in film, radio, and television, including her iconic role as Endora on the TV series "Bewitched."
  • D. Mott
    Mott is a surname most notably associated with Sir Nevill Mott, the Nobel Prize–winning British physicist recognized for his work on the electronic structure of magnetic and disordered systems.
  • E. Briggs
    Briggs is a surname most prominently associated with Lance Briggs, a former NFL linebacker best known for his career with the Chicago Bears.
  • 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: Moore
Triple: [Borough of Halton, containsSettlement, Moore]
Generated description
Moore is a small village and civil parish in the Borough of Halton in Cheshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moore
Target entity description: Moore is a small village and civil parish in the Borough of Halton in Cheshire, England.
  • A. Moore
    Moore is the middle name of Edward M. Kennedy, the long-serving U.S. senator from Massachusetts and prominent member of the Kennedy political family.
  • B. Moore
    Moore is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • C. Moorehead
    Moorehead is the surname of American actress Agnes Moorehead, renowned for her work in film, radio, and television, including her iconic role as Endora on the TV series "Bewitched."
  • D. Mott
    Mott is a surname most notably associated with Sir Nevill Mott, the Nobel Prize–winning British physicist recognized for his work on the electronic structure of magnetic and disordered systems.
  • E. Briggs
    Briggs is a surname most prominently associated with Lance Briggs, a former NFL linebacker best known for his career with the Chicago Bears.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb392f6481908b6ad0457b8cf421 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680a23e0819088851295a605a085 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b369b68900819086028b16657c6dc9 completed March 13, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69b36a08cff08190897adaa51f32df4a completed March 13, 2026, 1:36 a.m.
Created at: March 8, 2026, 3:17 p.m.