Triple

T11323253
Position Surface form Disambiguated ID Type / Status
Subject Union Parliament E268142 entity
Predicate winterSessionHeld P63138 FINISHED
Object Annually 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: Annually | Statement: [Union Parliament, winterSessionHeld, Annually]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: winterSessionHeld
Context triple: [Union Parliament, winterSessionHeld, Annually]
  • A. winterSession
    Indicates that an event, course, or activity takes place during a designated winter academic or seasonal session.
  • B. winterStatus
    Indicates the condition, phase, or circumstances associated with the winter season for a given entity or context.
  • C. winterFrequency chosen
    Indicates how often the related event, condition, or phenomenon occurs during the winter season.
  • D. summerWinterCycle
    Indicates a recurring transition between summer and winter seasons, capturing the cyclical change in conditions or states across these two periods.
  • E. winterCharacteristic
    Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e122e48190b3f890de8d561480 completed April 9, 2026, 6:03 p.m.
PD Predicate disambiguation batch_69d787ad575081908274280bf75d95fd completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.