Triple
T22222193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Cable Car |
E549238
|
entity |
| Predicate | openedBeforeEvent |
P10304
|
FINISHED |
| Object | 2012 Summer Olympics |
—
|
LITERAL 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: 2012 Summer Olympics | Statement: [London Cable Car, openedBeforeEvent, 2012 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedBeforeEvent Context triple: [London Cable Car, openedBeforeEvent, 2012 Summer Olympics]
-
A.
openedBefore
chosen
Indicates that one entity was opened at an earlier time than another entity.
-
B.
openedForEvent
Indicates that a venue or location is made accessible and operational specifically for a particular event.
-
C.
openedAfter
Indicates that one entity was opened at a later time than another entity.
-
D.
openedDuring
Indicates that an entity began operating, became accessible, or was inaugurated within a specified time period or event.
-
E.
openedIn
Indicates that an entity (such as a business, event, or institution) began operating or was inaugurated in a specific time period or location.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b91f8d48190b828fcde59620ff5 |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.