Triple

T10596537
Position Surface form Disambiguated ID Type / Status
Subject Argentine surrender at Port Stanley E250128 entity
Predicate immediateEffect P59949 FINISHED
Object cessation of hostilities in the Falkland Islands 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: cessation of hostilities in the Falkland Islands | Statement: [Argentine surrender at Port Stanley, immediateEffect, cessation of hostilities in the Falkland Islands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: immediateEffect
Context triple: [Argentine surrender at Port Stanley, immediateEffect, cessation of hostilities in the Falkland Islands]
  • A. immediateOutcome chosen
    Indicates that one event or action leads directly and without delay to a resulting state or consequence.
  • B. tookEffect
    Indicates that a change, rule, condition, or event became active, operative, or started producing its intended consequences.
  • C. eventEffect
    Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
  • D. temporalEffect
    Indicates a relationship where one event, state, or action produces consequences or changes that occur at a later time.
  • E. temporaryEffect
    Indicates that one entity causes or experiences an effect that is limited in duration and does not produce a lasting change.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278dacc4819089b759744f100e5f completed April 7, 2026, 3:49 p.m.
PD Predicate disambiguation batch_69d5190a6dfc819088262957551808a1 completed April 7, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:41 p.m.