Triple

T3740604
Position Surface form Disambiguated ID Type / Status
Subject La Frutera E79687 entity
Predicate appliesToTimeSpan P302 FINISHED
Object early 20th century 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: early 20th century | Statement: [La Frutera, appliesToTimeSpan, early 20th century]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToTimeSpan
Context triple: [La Frutera, appliesToTimeSpan, early 20th century]
  • A. timePeriodWithin
    Indicates that one time period is entirely contained within the bounds of another time period.
  • B. timePeriod chosen
    Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
  • C. appliesTo
    Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
  • D. appliesAt
    Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
  • E. timePeriodCoveredTo
    Indicates the span or duration of time that is encompassed, addressed, or relevant to a given subject or entity.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb5344fc8190b183aca5c04e3bcc completed March 8, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69adc048f28c819092bed16a95a3cac1 completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:34 p.m.