Triple
T4452480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Clancy Brothers |
E97644
|
entity |
| Predicate | tourActivity |
P9124
|
FINISHED |
| Object | toured extensively in the United States |
—
|
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: toured extensively in the United States | Statement: [The Clancy Brothers, tourActivity, toured extensively in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tourActivity Context triple: [The Clancy Brothers, tourActivity, toured extensively in the United States]
-
A.
touringActivity
chosen
Indicates an activity where an entity travels from place to place, typically for visiting, performing, or sightseeing purposes.
-
B.
tourCategory
Indicates the classification or type of a tour (e.g., by theme, style, or purpose) that the tour belongs to.
-
C.
tourAccess
Indicates that an entity is permitted to participate in, enter, or make use of a specific tour.
-
D.
tourAssociation
Indicates a relationship where an entity is linked or affiliated with a specific tour, such as organizing, sponsoring, or being formally connected to that tour.
-
E.
tourismFeature
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f49dc081908727af81b886c08d |
completed | March 13, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:33 p.m.