Triple
T19218486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luzia |
E480546
|
entity |
| Predicate | touringFormat |
P62123
|
FINISHED |
| Object | big top show |
—
|
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: big top show | Statement: [Luzia, touringFormat, big top show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touringFormat Context triple: [Luzia, touringFormat, big top show]
-
A.
touringStyle
Indicates the manner or approach in which an entity conducts or experiences a tour (e.g., type, format, or style of touring).
-
B.
tourFormat
chosen
Indicates the specific structure, style, or type of a tour associated with an entity.
-
C.
touringScope
Indicates the extent or range of locations, venues, or areas covered by an entity’s tour or touring activity.
-
D.
touringActivity
Indicates an activity where an entity travels from place to place, typically for visiting, performing, or sightseeing purposes.
-
E.
tourOf
Indicates that one entity serves as a guided or organized visit through another entity, typically for exploration, education, or sightseeing.
- 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3c552c8190b22844e5b7adfc50 |
completed | April 20, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:23 p.m.