Triple
T20267342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | G3 |
E499002
|
entity |
| Predicate | featuresPerTour |
P84159
|
FINISHED |
| Object | three lead guitarists |
—
|
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: three lead guitarists | Statement: [G3, featuresPerTour, three lead guitarists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPerTour Context triple: [G3, featuresPerTour, three lead guitarists]
-
A.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
B.
tourismCharacteristic
chosen
Indicates that something has a specific feature, quality, or attribute relevant to tourism, such as what makes a place, service, or activity notable or suitable for tourists.
-
C.
tourStaple
Indicates that something is a standard, frequently included element or highlight of a tour.
-
D.
tourComponentOf
Indicates that something functions as a constituent part or segment of a larger tour.
-
E.
tourLegCount
Indicates the number of legs or segments that make up a given tour or journey.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674d001f081908910eedd262ae13a |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:42 p.m.