Triple
T6364439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nachi Falls |
E143189
|
entity |
| Predicate | viewingFee |
P3997
|
FINISHED |
| Object | charged for closer viewing area |
—
|
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: charged for closer viewing area | Statement: [Nachi Falls, viewingFee, charged for closer viewing area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewingFee Context triple: [Nachi Falls, viewingFee, charged for closer viewing area]
-
A.
registrationFee
Indicates the monetary amount required to register for a service, event, or entity.
-
B.
admissionFee
chosen
Indicates the monetary charge required for entry or participation in a place, event, or activity.
-
C.
feeType
Indicates the specific category or classification of a fee associated with a transaction, service, or obligation.
-
D.
feeUnit
Indicates the unit of measurement or currency in which a fee amount is expressed.
-
E.
feePolicy
Indicates the rules or conditions that determine how fees are calculated, applied, or charged in a given context.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0680ed0148190b6e310b15b3449ff |
completed | March 22, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69c060ee055081908c79a1d151bd74cd |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:32 p.m.