Triple
T11862466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laie Hawaii Temple |
E282191
|
entity |
| Predicate | hasPublicVisitorsCenter |
P101923
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Laie Hawaii Temple, hasPublicVisitorsCenter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicVisitorsCenter Context triple: [Laie Hawaii Temple, hasPublicVisitorsCenter, yes]
-
A.
hasVisitorCenterBy
Indicates that a location or site is served or administered by a specific visitor center.
-
B.
hasVisitorCenterIn
Indicates that an entity operates or possesses a visitor center located within a specified place.
-
C.
visitorCentreOpened
Indicates that a visitor centre has begun operating or has been officially opened to the public.
-
D.
visitorCenter
Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
-
E.
hasTouristVisits
Indicates that one entity experiences or records visits from tourists to another entity.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69b16bc8190999a0c1240f9ce6a |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.