Triple
T30160990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stratford International DLR station |
E766664
|
entity |
| Predicate | servesEventVenues |
P6789
|
FINISHED |
| Object | London Stadium |
—
|
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: London Stadium | Statement: [Stratford International DLR station, servesEventVenues, London Stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesEventVenues Context triple: [Stratford International DLR station, servesEventVenues, London Stadium]
-
A.
servesVenue
chosen
Indicates that an entity provides services or functions in support of a particular venue.
-
B.
servesEventType
Indicates that an entity provides or supports a particular type or category of event.
-
C.
servesEvent
Indicates that an entity provides, hosts, or facilitates a particular event for others.
-
D.
coVenueWith
Indicates that two events or activities take place at the same venue or location.
-
E.
internationalVenueFor
Indicates that a location serves as a host or site for events, activities, or functions involving participants or audiences from multiple countries.
- 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_69f2247a968881909d79c18f2bfcb275 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
Created at: April 29, 2026, 7:21 p.m.