Triple

T3523606
Position Surface form Disambiguated ID Type / Status
Subject Fleet E74484 entity
Predicate shireDistrict P20673 FINISHED
Object Hart
Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
 E364781 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: Hart | Statement: [Fleet, shireDistrict, Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hart
Context triple: [Fleet, shireDistrict, Hart]
  • A. Hart
    Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
  • B. Hood
    Hood is an English surname historically associated with notable figures such as the British naval commander Samuel Hood, 1st Viscount Hood.
  • C. Haggerty
    Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • D. Horne
    Horne is a small rural village and civil parish in the Tandridge district of Surrey, England.
  • E. Hadden
    Hadden is a surname most notably associated with Briton Hadden, co-founder of Time magazine.
  • 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: Hart
Triple: [Fleet, shireDistrict, Hart]
Generated description
Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hart
Target entity description: Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
  • A. Hart
    Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
  • B. Hood
    Hood is an English surname historically associated with notable figures such as the British naval commander Samuel Hood, 1st Viscount Hood.
  • C. Haggerty
    Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • D. Horne
    Horne is a small rural village and civil parish in the Tandridge district of Surrey, England.
  • E. Hadden
    Hadden is a surname most notably associated with Briton Hadden, co-founder of Time magazine.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4f16b8819094ad2755670ddc7b completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e8ae87481909eabd5847fbfa617 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37eecfe0881909265b48c624be61f completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b37f5574b08190bdde80b47f2cb99c completed March 13, 2026, 3:07 a.m.
Created at: March 8, 2026, 3:19 p.m.