Triple

T7610021
Position Surface form Disambiguated ID Type / Status
Subject Ham, London E172209 entity
Predicate hasGreenSpace P1495 FINISHED
Object Ham Common E677003 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: Ham Common | Statement: [Ham, London, hasGreenSpace, Ham Common]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ham Common
Context triple: [Ham, London, hasGreenSpace, Ham Common]
  • A. Ham Common chosen
    Ham Common is a large historic common and public open space in the district of Ham in southwest London, known for its grassland, ponds, and surrounding period architecture.
  • B. Barnes Common
    Barnes Common is a large area of public open woodland and grassland in Barnes, southwest London, known for its natural habitats and recreational space.
  • C. Cimla Common
    Cimla Common is a public open green space in Cimla, Neath, used for recreation and community activities.
  • D. Hayes Common
    Hayes Common is a large area of heathland and woodland in the London Borough of Bromley, valued for recreation and nature conservation.
  • E. Hungerford Common
    Hungerford Common is a large open area of common land near the town of Hungerford in Berkshire, England, known for its grazing, walking paths, and wildlife.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa20ac2c8190ac7ab90b4df406b6 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c87094139481909858399a082f4a29 completed March 29, 2026, 12:21 a.m.
Created at: March 27, 2026, 3:54 p.m.