Triple

T3649411
Position Surface form Disambiguated ID Type / Status
Subject London Paddington E77382 entity
Predicate locatedIn P40 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: [London Paddington, locatedIn, Paddington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paddington
Context triple: [London Paddington, locatedIn, 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc38fa1988190b630329700afc3dd completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3c85348190b1d16179294f7f09 completed March 13, 2026, 5:54 p.m.
Created at: March 8, 2026, 3:24 p.m.