Triple
T3267763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montrose Point Bird Sanctuary |
E68566
|
entity |
| Predicate | peakVisitationSeason |
P31151
|
FINISHED |
| Object | spring migration |
—
|
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: spring migration | Statement: [Montrose Point Bird Sanctuary, peakVisitationSeason, spring migration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakVisitationSeason Context triple: [Montrose Point Bird Sanctuary, peakVisitationSeason, spring migration]
-
A.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
B.
seasonalPopulation
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
-
C.
visitorFrequency
Indicates how often a visitor comes to or interacts with a particular entity or location.
-
D.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
-
E.
hasSeasonalHighlight
chosen
Indicates that something features a notable or emphasized aspect during a particular season or time of 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcf9c6c819092f9c618b778b46d |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.