Triple
T26695390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobcaygeon, Ontario |
E673003
|
entity |
| Predicate | hasSummerPopulationIncrease |
P8162
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Bobcaygeon, Ontario, hasSummerPopulationIncrease, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummerPopulationIncrease Context triple: [Bobcaygeon, Ontario, hasSummerPopulationIncrease, yes]
-
A.
hasTemporaryPopulationIncrease
Indicates a relationship where an entity experiences a non-permanent rise in the number of people present, typically due to short-term events, seasons, or activities.
-
B.
seasonalPopulation
chosen
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
-
C.
hasSeasonalMigration
Indicates that an entity regularly moves between different locations according to seasonal or cyclical environmental changes.
-
D.
hasPeakVisitationSeason
Indicates that an entity experiences its highest or most concentrated level of visitation during a specific season or time period.
-
E.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
- 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_69eecda2066c8190a344218afa5e89c1 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 27, 2026, 3:28 a.m.