Triple
T34139844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cole World Tour |
E875685
|
entity |
| Predicate | hasTourNameTheme |
P86144
|
FINISHED |
| Object | Cole World branding |
—
|
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: Cole World branding | Statement: [Cole World Tour, hasTourNameTheme, Cole World branding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTourNameTheme Context triple: [Cole World Tour, hasTourNameTheme, Cole World branding]
-
A.
hasTourName
Indicates that an entity is associated with a specific tour by its name.
-
B.
hasTouristName
Indicates that an entity is known or referred to by a specific name used primarily for tourism or by tourists.
-
C.
tourNameDerivedFrom
chosen
Indicates that the name of a tour is derived from, or based on, another specified source or entity.
-
D.
hasTour
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
E.
hasAttractionTheme
Indicates that something (such as a place, event, or attraction) is characterized by or associated with a particular theme or motif.
- 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 1, 2026, 1:53 a.m.