Triple
T33120841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorney Lake |
E847590
|
entity |
| Predicate | officialOlympicVenueName |
P195445
|
FINISHED |
| Object | Eton Dorney |
—
|
NE NERFINISHED |
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: Eton Dorney | Statement: [Dorney Lake, officialOlympicVenueName, Eton Dorney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialOlympicVenueName Context triple: [Dorney Lake, officialOlympicVenueName, Eton Dorney]
-
A.
OlympicVenue
Indicates that a location serves or has served as a site where official Olympic Games events are held.
-
B.
OlympicVenueType
Indicates the specific type or classification of a venue used for Olympic events.
-
C.
usedOlympicVenuesOf
Indicates that one entity made use of the Olympic venues associated with another entity, such as for hosting events or activities.
-
D.
usedAsOlympicStadiumFor
Indicates that a venue served as the official stadium for hosting events of a particular edition of the Olympic Games.
-
E.
officialOlympicName
chosen
Indicates the formal name under which something is officially recognized in the context of the Olympic Games.
- F. None of above.
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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: May 1, 2026, 1:27 a.m.