Triple

T9195542
Position Surface form Disambiguated ID Type / Status
Subject Hersham E220696 entity
Predicate hasGreenSpace P1495 FINISHED
Object Hersham Green E220696 NE FINISHED

How this triple was built (2 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: Hersham Green | Statement: [Hersham, hasGreenSpace, Hersham Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hersham Green
Context triple: [Hersham, hasGreenSpace, Hersham Green]
  • A. Hersham chosen
    Hersham is a suburban village in Surrey, England, situated near Walton-on-Thames and within commuting distance of London.
  • B. Chertsey Meads
    Chertsey Meads is a riverside meadow and open space near Chertsey in Surrey, England, known for its natural floodplain landscape and recreational use along the River Thames.
  • C. Esher Green
    Esher Green is a historic village green and open space in Esher, Surrey, known for its picturesque setting and local recreational use.
  • D. Buckhurst Hill
    Buckhurst Hill is a suburban town in Essex, England, situated on the edge of Epping Forest and forming part of the London commuter belt.
  • E. Colliers Wood
    Colliers Wood is a residential and commercial district in southwest London known for its shopping facilities, green spaces, and Underground station on the Northern line.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87c3a3c8190b60f19873ef6e1f8 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c36d7208190a593923bad3d18e7 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:25 p.m.