Triple
T4493402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal New Zealand Ballet |
E100633
|
entity |
| Predicate | touringScope |
P56890
|
FINISHED |
| Object | national |
—
|
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: national | Statement: [Royal New Zealand Ballet, touringScope, national]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touringScope Context triple: [Royal New Zealand Ballet, touringScope, national]
-
A.
touringActivity
Indicates an activity where an entity travels from place to place, typically for visiting, performing, or sightseeing purposes.
-
B.
touringStyle
Indicates the manner or approach in which an entity conducts or experiences a tour (e.g., type, format, or style of touring).
-
C.
touringArea
Indicates that an entity is designated as an area or region where touring or guided visits take place.
-
D.
touredIn
Indicates that an entity traveled to and visited a particular place, typically as part of a tour or series of visits.
-
E.
tourCategory
Indicates the classification or type of a tour (e.g., by theme, style, or purpose) that the tour belongs to.
- F. None of above. chosen
Provenance (4 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5570ba0881908f5fb4f8d0730e64 |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd556b93cc8190ab817d2817109a0b |
completed | March 20, 2026, 2:10 p.m. |
Created at: March 20, 2026, 1 p.m.