Triple

T32057812
Position Surface form Disambiguated ID Type / Status
Subject ICON Outlet at The O2 E818666 entity
Predicate ownedBy P347 FINISHED
Object The O2 (management/ownership entity)
The O2 (management/ownership entity) is the organization responsible for operating and overseeing the iconic O2 entertainment complex in London, including its venues, attractions, and retail outlets.
E1989593 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: The O2 (management/ownership entity) | Statement: [ICON Outlet at The O2, ownedBy, The O2 (management/ownership entity)]
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: The O2 (management/ownership entity)
Triple: [ICON Outlet at The O2, ownedBy, The O2 (management/ownership entity)]
Generated description
The O2 (management/ownership entity) is the organization responsible for operating and overseeing the iconic O2 entertainment complex in London, including its venues, attractions, and retail outlets.

Provenance (5 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_69f348fdacec8190b9f74375ca3b2094 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b4f1be488190823ce96ea65f1c80 completed May 3, 2026, 2:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ed507e9f88190bbc4a910da50846f completed June 14, 2026, 4:21 p.m.
NEDg Description generation batch_6a2ed5feab3481909fda36f8ced29749 completed June 14, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_6a2ed803dd348190acb0253e6c8e98dc completed June 14, 2026, 4:34 p.m.
Created at: May 1, 2026, 12:21 a.m.