Triple

T13899218
Position Surface form Disambiguated ID Type / Status
Subject Kew Pier E334174 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Kew Green E71780 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: Kew Green | Statement: [Kew Pier, hasNearbyAttraction, Kew Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kew Green
Context triple: [Kew Pier, hasNearbyAttraction, Kew Green]
  • A. Kew Green chosen
    Kew Green is a historic open common and village green in the London district of Kew, known for its surrounding period buildings and proximity to major cultural institutions.
  • B. Kew Gardens Hills
    Kew Gardens Hills is a Queens, New York City neighborhood known for its large Bukharan Jewish community and vibrant mix of Orthodox Jewish life and diverse immigrant populations.
  • C. Palmers Green
    Palmers Green is a suburban area in the London Borough of Enfield, known for its residential character and significant Greek and Cypriot community.
  • D. Warlingham Green
    Warlingham Green is a central village green and focal public space in Warlingham, Surrey, surrounded by local shops, pubs, and community amenities.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25d8897881908b770cdb565898d4 completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac8401b88190a2e87dbdf1bbaee2 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:15 p.m.