Triple

T1063595
Position Surface form Disambiguated ID Type / Status
Subject Southern Oscillation E22959 entity
Predicate temporalPattern P302 FINISHED
Object irregular cycle of several years 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: irregular cycle of several years | Statement: [Southern Oscillation, temporalPattern, irregular cycle of several years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: temporalPattern
Context triple: [Southern Oscillation, temporalPattern, irregular cycle of several years]
  • A. temporalRelation
    Indicates a relationship that specifies how two events or states are positioned relative to each other in time (e.g., before, after, or overlapping).
  • B. timePeriod chosen
    Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
  • C. pattern
    Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
  • D. observancePattern
    Indicates how an action, rule, or practice is regularly carried out or followed over time, such as its schedule, frequency, or customary pattern of observance.
  • E. timeDescribedAs
    Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f85cc08190ae03ac6c84936cc5 completed March 1, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69a4b7359eb881909c868a558861cc18 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.