Triple

T2143937
Position Surface form Disambiguated ID Type / Status
Subject Penge E47020 entity
Predicate hasHighStreet P461 FINISHED
Object Penge High Street
Penge High Street is the main commercial and shopping thoroughfare serving the district of Penge in southeast London.
E236916 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: Penge High Street | Statement: [Penge, hasHighStreet, Penge High Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penge High Street
Context triple: [Penge, hasHighStreet, Penge High Street]
  • A. High Street
    High Street is a prominent fell in the Lake District of England, known for its broad summit plateau and the Roman road that once ran along its ridge.
  • B. High Street
    High Street is the main commercial and shopping thoroughfare in the town of Oxted, lined with shops, cafes, and local businesses.
  • C. High Street
    High Street was the original name of Philadelphia’s present-day Market Street, a major east–west thoroughfare and historic commercial artery in the city.
  • D. High Street
    High Street is the main commercial and social thoroughfare in the coastal town of Burntisland, Scotland, lined with shops, services, and local businesses.
  • E. High Street
    High Street is a central thoroughfare in New Haven, Connecticut, running alongside Yale University's Old Campus and lined with historic academic and civic buildings.
  • 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: Penge High Street
Triple: [Penge, hasHighStreet, Penge High Street]
Generated description
Penge High Street is the main commercial and shopping thoroughfare serving the district of Penge in southeast London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Penge High Street
Target entity description: Penge High Street is the main commercial and shopping thoroughfare serving the district of Penge in southeast London.
  • A. High Street
    High Street was the original name of Philadelphia’s present-day Market Street, a major east–west thoroughfare and historic commercial artery in the city.
  • B. High Street
    High Street is the main commercial and social thoroughfare in the coastal town of Burntisland, Scotland, lined with shops, services, and local businesses.
  • C. High Street
    High Street is a prominent fell in the Lake District of England, known for its broad summit plateau and the Roman road that once ran along its ridge.
  • D. High Street
    High Street is the main commercial and shopping thoroughfare in the town of Oxted, lined with shops, cafes, and local businesses.
  • E. High Street
    High Street is a central thoroughfare in New Haven, Connecticut, running alongside Yale University's Old Campus and lined with historic academic and civic buildings.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe223f848190a60bd0f15aed1021 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b8152c81908c66d389bf14dc7e completed March 9, 2026, 4:51 a.m.
NEDg Description generation batch_69ae522f0394819087a7e7d9c6ca354c completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae5316acf881908dde9d83c36c8fd0 completed March 9, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:44 p.m.