Triple

T37022068
Position Surface form Disambiguated ID Type / Status
Subject Mitchell Falls E916248 entity
Predicate hasBestVisitingMonths P175486 FINISHED
Object May to September 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: May to September | Statement: [Mitchell Falls, hasBestVisitingMonths, May to September]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBestVisitingMonths
Context triple: [Mitchell Falls, hasBestVisitingMonths, May to September]
  • A. hasPeakVisitationSeason
    Indicates that an entity experiences its highest or most concentrated level of visitation during a specific season or time period.
  • B. popularTimeToVisit
    Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
  • C. bestSeasonMonths chosen
    Indicates the months of the year during which something (such as a location, activity, or product) is considered to be at its best or most favorable season.
  • D. isPeakVacationMonthIn
    Indicates that a given month falls within the period of highest typical vacation activity in a specified location or context.
  • E. peakSeasonMonth
    Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
  • 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_69f76e920dc48190acb6bb7ebc4dffab completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fd2cf39b0c8190811b8a6fa9410560 completed May 8, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69fd2ad8dd988190a9899701ba00d917 completed May 8, 2026, 12:14 a.m.
Created at: May 3, 2026, 4:14 p.m.