Triple
T17599713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyline Rotorua |
E428660
|
entity |
| Predicate | typicalVisitorsInclude |
P34539
|
FINISHED |
| Object | families |
—
|
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: families | Statement: [Skyline Rotorua, typicalVisitorsInclude, families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVisitorsInclude Context triple: [Skyline Rotorua, typicalVisitorsInclude, families]
-
A.
primaryVisitors
chosen
Indicates that certain entities are the main or most important visitors associated with another entity or context.
-
B.
typicalVisitorOrigin
Indicates the usual geographic source or location from which visitors to a place, event, or entity most commonly come.
-
C.
typicalVisitType
Indicates the usual or most common category of visit associated with an entity or event.
-
D.
typicalVisitorBehavior
Indicates the usual or characteristic way visitors act, respond, or interact in a given context or environment.
-
E.
typicalVisitorsPerSeason
Indicates the usual number of visitors associated with each season for a given entity or location.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4812d48190bf8e899fa8f7fbe4 |
completed | April 19, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:51 a.m.