Triple

T432074
Position Surface form Disambiguated ID Type / Status
Subject Harrow Hill E9734 entity
Predicate locatedIn P40 FINISHED
Object Harrow
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
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 | Statement: [Harrow Hill, locatedIn, Harrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrow
Context triple: [Harrow Hill, locatedIn, Harrow]
  • A. Sevenoaks
    Sevenoaks is a commuter town in Kent, England, known for its historic market center, surrounding countryside, and proximity to London.
  • B. Egham
    Egham is a town in the county of Surrey in southeast England, known for its proximity to Runnymede, where Magna Carta was sealed.
  • C. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • D. Tonbridge
    Tonbridge is a historic market town in Kent, England, known for its medieval castle, riverside setting on the River Medway, and role as a local commercial and commuter hub.
  • E. Oxted
    Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
  • 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
Triple: [Harrow Hill, locatedIn, Harrow]
Generated description
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harrow
Target entity description: Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
  • A. Sevenoaks
    Sevenoaks is a commuter town in Kent, England, known for its historic market center, surrounding countryside, and proximity to London.
  • B. Egham
    Egham is a town in the county of Surrey in southeast England, known for its proximity to Runnymede, where Magna Carta was sealed.
  • C. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • D. Tonbridge
    Tonbridge is a historic market town in Kent, England, known for its medieval castle, riverside setting on the River Medway, and role as a local commercial and commuter hub.
  • E. Oxted
    Oxted is a commuter town in southeast England known for its proximity to London and location at the foot of the North Downs.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eef07e748190b05392778f3de980 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a447fa97ac8190b8a19ded2d0f520e completed March 1, 2026, 2:06 p.m.
NEDg Description generation batch_69a44b9ab54c8190a0f74337479b9d7b completed March 1, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69a44bf14ab88190bc8e699049fcdbc1 completed March 1, 2026, 2:23 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.