Triple
T33550827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sticky & Sweet Tour |
E859326
|
entity |
| Predicate | openedOnDate |
P30383
|
FINISHED |
| Object | 2008-08-23 |
—
|
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: 2008-08-23 | Statement: [Sticky & Sweet Tour, openedOnDate, 2008-08-23]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedOnDate Context triple: [Sticky & Sweet Tour, openedOnDate, 2008-08-23]
-
A.
openedAt
chosen
Indicates that an entity began operating, became accessible, or was first made available at a specific time or date.
-
B.
openedFrom
Indicates that one entity was initiated, accessed, or launched as a result of an action performed within another entity.
-
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_69f3497b2b68819093207971b5e13dc8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 1:39 a.m.