Triple
T23269910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monarch Butterfly Grove |
E588258
|
entity |
| Predicate | typicalPeakVisitation |
P23946
|
FINISHED |
| Object | late fall to early winter |
—
|
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: late fall to early winter | Statement: [Monarch Butterfly Grove, typicalPeakVisitation, late fall to early winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPeakVisitation Context triple: [Monarch Butterfly Grove, typicalPeakVisitation, late fall to early winter]
-
A.
typicalVisitorsPerSeason
Indicates the usual number of visitors associated with each season for a given entity or location.
-
B.
hasPeakVisitationSeason
Indicates that an entity experiences its highest or most concentrated level of visitation during a specific season or time period.
-
C.
typicallyPeaksIn
chosen
Indicates the usual time or period when something reaches its maximum level, intensity, or occurrence.
-
D.
popularTimeToVisit
Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
-
E.
typicalPeakDateRange
Indicates the usual calendar period during which the referenced phenomenon or activity most commonly reaches its highest intensity or occurrence.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957324bc8190b8b53d4b18386151 |
completed | April 29, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:45 p.m.