Triple
T32397202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potami waterfalls |
E827842
|
entity |
| Predicate | typicalVisitorDuration |
P110283
|
FINISHED |
| Object | half-day excursion |
—
|
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: half-day excursion | Statement: [Potami waterfalls, typicalVisitorDuration, half-day excursion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVisitorDuration Context triple: [Potami waterfalls, typicalVisitorDuration, half-day excursion]
-
A.
hasTypicalVisitDuration
chosen
Indicates the usual or expected length of time that a visit to something typically lasts.
-
B.
typicalDurationMinutes
Indicates the usual or expected length of time, measured in minutes, that an event, activity, or process typically lasts.
-
C.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
D.
typicalTourDuration
Indicates the usual length of time that a tour normally takes to complete.
-
E.
visitorFrequency
Indicates how often a visitor comes to or interacts with a particular 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:52 a.m.