Triple

T11787161
Position Surface form Disambiguated ID Type / Status
Subject Kew Gardens station E280299 entity
Predicate nearbyAttraction P3449 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 Gardens station, nearbyAttraction, Kew Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kew Green
Context triple: [Kew Gardens station, nearbyAttraction, 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f63477e08190957dd1ef709fe93b completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:42 p.m.