Triple
T17419173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Falls |
E423563
|
entity |
| Predicate | hasPeakVisitationSeason |
P127382
|
FINISHED |
| Object | summer |
—
|
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: summer | Statement: [Cameron Falls, hasPeakVisitationSeason, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakVisitationSeason Context triple: [Cameron Falls, hasPeakVisitationSeason, summer]
-
A.
hasSeasonalRidershipPeak
Indicates that the ridership of an entity (such as a service or route) reaches its highest levels during specific seasons or times of the year.
-
B.
isPeakVacationMonthIn
Indicates that a given month falls within the period of highest typical vacation activity in a specified location or context.
-
C.
isSeasonalAttraction
Indicates that an attraction is available or prominently featured only during specific seasons or times of the year.
-
D.
isOnPeak
Indicates that one entity is located at, or positioned on, the highest point or summit of another entity.
-
E.
requiresReservationInPeakSeason
Indicates that the subject can only be accessed or used during peak season if a reservation has been made in advance.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44234d840819096484a15d407785a |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.