Triple

T27777845
Position Surface form Disambiguated ID Type / Status
Subject London Knights E699247 entity
Predicate playedAtVenue P96050 FINISHED
Object London Arena, Docklands
London Arena, Docklands was a former multi-purpose indoor arena in London’s Docklands area that hosted ice hockey, concerts, and various sporting and entertainment events.
 E1791061 NE FINISHED

How this triple was built (3 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: London Arena, Docklands | Statement: [London Knights, playedAtVenue, London Arena, Docklands]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: London Arena, Docklands
Triple: [London Knights, playedAtVenue, London Arena, Docklands]
Generated description
London Arena, Docklands was a former multi-purpose indoor arena in London’s Docklands area that hosted ice hockey, concerts, and various sporting and entertainment events.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: playedAtVenue
Context triple: [London Knights, playedAtVenue, London Arena, Docklands]
  • A. performedAtVenue chosen
    Indicates that an event or performance took place at a specific venue or location.
  • B. hasVenueFor
    Indicates that one entity provides or serves as the location or setting where an event, activity, or function takes place for another entity.
  • C. laterPerformanceVenue
    Indicates that a performance or event took place at this venue at a later time than another referenced performance or venue.
  • D. hasVenueIn
    Indicates that an event, activity, or occurrence takes place at a specific venue located within a particular geographic area or location.
  • E. intendedPerformanceVenue
    Indicates the venue or location where a performance is planned or intended to take place.
  • F. None of above.

Provenance (6 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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6bbf6e33c819086e5176d64e7a614 completed May 3, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12f71897c08190b172e367286fc595 completed May 24, 2026, 1:03 p.m.
NEDg Description generation batch_6a12f79fed1c81908af492a3fd35f82d completed May 24, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a12fb9bdbe881909c9f79d153f151a3 completed May 24, 2026, 1:22 p.m.
PD Predicate disambiguation batch_69f6ba6b1e6c8190adf9d6a257e0b744 completed May 3, 2026, 3 a.m.
Created at: April 27, 2026, 5:07 p.m.