Triple

T2876942
Position Surface form Disambiguated ID Type / Status
Subject Harrow E56899 entity
Predicate hasArea P175 FINISHED
Object Harrow Weald
Harrow Weald is a suburban district in the London Borough of Harrow, known for its residential areas and nearby open spaces such as Harrow Weald Common.
 E56899 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: Harrow Weald | Statement: [Harrow, hasArea, Harrow Weald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harrow Weald
Context triple: [Harrow, hasArea, Harrow Weald]
  • A. Harrow
    Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
  • B. Hertford Heath
    Hertford Heath is a village and civil parish in Hertfordshire, England, known for its rural character, common land, and proximity to the town of Hertford.
  • C. Colney Heath
    Colney Heath is a village and civil parish in the county of Hertfordshire in the East of England.
  • D. Goffs Oak
    Goffs Oak is a village in the county of Hertfordshire, England, known for its residential character and proximity to both countryside and London commuter routes.
  • E. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • 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: Harrow Weald
Triple: [Harrow, hasArea, Harrow Weald]
Generated description
Harrow Weald is a suburban district in the London Borough of Harrow, known for its residential areas and nearby open spaces such as Harrow Weald Common.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Harrow Weald
Target entity description: Harrow Weald is a suburban district in the London Borough of Harrow, known for its residential areas and nearby open spaces such as Harrow Weald Common.
  • A. Harrow chosen
    Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
  • B. Hertford Heath
    Hertford Heath is a village and civil parish in Hertfordshire, England, known for its rural character, common land, and proximity to the town of Hertford.
  • C. Colney Heath
    Colney Heath is a village and civil parish in the county of Hertfordshire in the East of England.
  • D. Goffs Oak
    Goffs Oak is a village in the county of Hertfordshire, England, known for its residential character and proximity to both countryside and London commuter routes.
  • E. Petts Wood
    Petts Wood is a suburban residential area in southeast London known for its commuter links, green spaces, and surrounding ancient woodland.
  • F. None of above.

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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe007329c8190b0bc1851c7307124 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055edfd948190ad7433002efa3e53 completed March 10, 2026, 5:33 p.m.
NEDg Description generation batch_69b05f20050c8190bc8401f14957ce6d completed March 10, 2026, 6:12 p.m.
NED2 Entity disambiguation (via description) batch_69b05fa27bec8190ad7b4c3175102851 completed March 10, 2026, 6:14 p.m.
Created at: March 6, 2026, 10:03 p.m.