Triple
T13488311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baranof Warm Springs |
E318563
|
entity |
| Predicate | populationSeasonal |
P8162
|
FINISHED |
| Object | larger seasonal population |
—
|
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: larger seasonal population | Statement: [Baranof Warm Springs, populationSeasonal, larger seasonal population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationSeasonal Context triple: [Baranof Warm Springs, populationSeasonal, larger seasonal population]
-
A.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
-
B.
navigationSeasonInfluencedBy
Indicates that the conditions or characteristics of a navigation season are affected or determined by another factor or entity.
-
C.
navigationSeason
Indicates the time period or season during which navigation or travel along a route or waterway is possible or permitted.
-
D.
seasonalPopulation
chosen
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
-
E.
hasSeasonalNature
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3b9b488190bb4e11424ff599c8 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.