Triple

T22592999
Position Surface form Disambiguated ID Type / Status
Subject Charnwood E564997 entity
Predicate contains P35 FINISHED
Object Seagrave
Seagrave is a small rural village and civil parish in Leicestershire, England, known for its historic church and traditional English countryside setting.
E1544727 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: Seagrave | Statement: [Charnwood, contains, Seagrave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seagrave
Context triple: [Charnwood, contains, Seagrave]
  • A. Seagraves
    Seagraves is a surname most notably associated with Eleanor Roosevelt Seagraves, a member of the Roosevelt family lineage.
  • B. Graveley
    Graveley is a small village and civil parish in the county of Hertfordshire in England.
  • C. Leagrave
    Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
  • D. Savige
    Savige is an English-language surname most notably associated with Australian Lieutenant General Sir Stanley Savige, a distinguished military leader and humanitarian.
  • E. Ravenshoe
    Ravenshoe is a small rural town in Far North Queensland, Australia, known for being the highest-elevation town in the state and for its surrounding rainforest and agricultural landscapes.
  • 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: Seagrave
Triple: [Charnwood, contains, Seagrave]
Generated description
Seagrave is a small rural village and civil parish in Leicestershire, England, known for its historic church and traditional English countryside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seagrave
Target entity description: Seagrave is a small rural village and civil parish in Leicestershire, England, known for its historic church and traditional English countryside setting.
  • A. Seagraves
    Seagraves is a surname most notably associated with Eleanor Roosevelt Seagraves, a member of the Roosevelt family lineage.
  • B. Graveley
    Graveley is a small village and civil parish in the county of Hertfordshire in England.
  • C. Leagrave
    Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
  • D. Savige
    Savige is an English-language surname most notably associated with Australian Lieutenant General Sir Stanley Savige, a distinguished military leader and humanitarian.
  • E. Ravenshoe
    Ravenshoe is a small rural town in Far North Queensland, Australia, known for being the highest-elevation town in the state and for its surrounding rainforest and agricultural landscapes.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f16163cb248190b377b110d80a6730 completed April 29, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d5e31308190a11bff9270795efd completed May 18, 2026, 4:25 p.m.
NEDg Description generation batch_6a0b3e908a308190af37f63904f38915 completed May 18, 2026, 4:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3f8d85cc8190812924d466d18735 completed May 18, 2026, 4:34 p.m.
Created at: April 17, 2026, 2:49 p.m.