Triple

T25162465
Position Surface form Disambiguated ID Type / Status
Subject Argentina and Chile E626476 entity
Predicate shareTimeZoneCharacteristic P167249 FINISHED
Object use of Southern Hemisphere seasons 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: use of Southern Hemisphere seasons | Statement: [Argentina and Chile, shareTimeZoneCharacteristic, use of Southern Hemisphere seasons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shareTimeZoneCharacteristic
Context triple: [Argentina and Chile, shareTimeZoneCharacteristic, use of Southern Hemisphere seasons]
  • A. relatedTimeZone
    Indicates that two entities are associated with or operate within the same or corresponding time zone(s).
  • B. timeZoneDependence
    Indicates how a process, value, or behavior changes or is determined based on the time zone in which it is considered.
  • C. timeZoneType
    Indicates the classification or category of a time zone associated with an entity (e.g., standard, daylight, or specific time zone format/type).
  • D. timezoneBasis
    Indicates that one timezone is defined, measured, or interpreted in reference to another timezone as its underlying standard or point of comparison.
  • E. hasTimeZoneNote
    Indicates that there is an associated note or annotation providing additional information or clarification about a time zone.
  • F. None of above. chosen

Provenance (4 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_69e2ff2834ec8190b0872e2ec3d76023 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f66a6468ec8190a43ed6cd8c797f42 completed May 2, 2026, 9:19 p.m.
PD Predicate disambiguation batch_69f66598d6008190a7ca8ff80399fd34 completed May 2, 2026, 8:59 p.m.
PDg Predicate description generation batch_69f6691da93081909deaf680614fc900 completed May 2, 2026, 9:14 p.m.
Created at: April 18, 2026, 6:31 a.m.