Triple

T3340385
Position Surface form Disambiguated ID Type / Status
Subject Green March E70242 entity
Predicate immediateTrigger P872 FINISHED
Object Spanish plans for a referendum in Western Sahara 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: Spanish plans for a referendum in Western Sahara | Statement: [Green March, immediateTrigger, Spanish plans for a referendum in Western Sahara]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: immediateTrigger
Context triple: [Green March, immediateTrigger, Spanish plans for a referendum in Western Sahara]
  • A. triggered
    Indicates that one entity causes an event, action, or process involving another entity to start or occur.
  • B. triggerCondition
    Indicates the specific circumstances or state under which an associated event, action, or process is initiated or activated.
  • C. triggerEvent chosen
    Indicates that one entity causes or initiates the occurrence of a specific event involving another entity or the system.
  • D. hasTriggerType
    Indicates that an event, condition, or mechanism is associated with a specific type or category of trigger that initiates it.
  • E. usesIntervention
    Indicates that one entity applies, employs, or relies on a specific intervention (such as a treatment, method, or strategy) in relation to another entity or context.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bf1f648190993ac8e9dda60983 completed March 8, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69ada42c2ba8819091136805ce17b39d completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:12 p.m.