Triple

T3091608
Position Surface form Disambiguated ID Type / Status
Subject Kensington Gardens E64493 entity
Predicate near P350 FINISHED
Object Paddington E78024 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: Paddington | Statement: [Kensington Gardens, near, Paddington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paddington
Context triple: [Kensington Gardens, near, Paddington]
  • A. Paddington chosen
    Paddington is a central London district best known for its major railway station, historic canal basin, and association with the fictional Paddington Bear.
  • B. Paddington (2014 film)
    Paddington (2014 film) is a British family comedy based on Michael Bond’s beloved bear character, following a young Peruvian bear’s misadventures in London after being adopted by the Brown family.
  • C. Paddington 2
    Paddington 2 is a critically acclaimed 2017 family comedy film about the beloved bear Paddington, celebrated for its warmth, humor, and inventive storytelling.
  • D. Mr. Plod
    Mr. Plod is the bumbling village policeman character from Enid Blyton’s Noddy stories, known for trying to keep order in Toyland.
  • E. Mr. Brown – Paddington
    Mr. Brown in *Paddington* is the cautious yet kind-hearted London father who gradually embraces and protects the lovable bear Paddington as part of his family.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20eeee88190a5eecfce10e3848c completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20364f8ac8190898b2aef195eb85f completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:03 p.m.