Triple

T2445739
Position Surface form Disambiguated ID Type / Status
Subject Swanley Park E53388 entity
Predicate locatedIn P40 FINISHED
Object Swanley E53388 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: Swanley | Statement: [Swanley Park, locatedIn, Swanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swanley
Context triple: [Swanley Park, locatedIn, Swanley]
  • A. Swanley chosen
    Swanley is a town in the Sevenoaks District of Kent, England, situated on the southeastern outskirts of Greater London.
  • B. Hurst Green
    Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
  • C. Little Whinging
    Little Whinging is a quiet, suburban English town in the Harry Potter series, best known as the home of Harry’s unpleasant Muggle relatives, the Dursleys.
  • D. Blackheath
    Blackheath is a historic village and popular tourist stop in the Blue Mountains of New South Wales, Australia, known for its dramatic cliffs, lookouts, and bushwalking trails.
  • E. Bywood
    Bywood is a residential neighborhood located within Upper Darby Township in Delaware County, Pennsylvania, just outside Philadelphia.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca25a84c8190859bf51000beffec completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b77207481909037a6ab4b420168 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:43 p.m.