Triple

T876929
Position Surface form Disambiguated ID Type / Status
Subject Social Democratic Party (Portugal) E18937 entity
Predicate communicationWhenInOpposition P3332 FINISHED
Object uses media and public debates to oppose government 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: uses media and public debates to oppose government | Statement: [Social Democratic Party (Portugal), communicationWhenInOpposition, uses media and public debates to oppose government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: communicationWhenInOpposition
Context triple: [Social Democratic Party (Portugal), communicationWhenInOpposition, uses media and public debates to oppose government]
  • A. communicationChannel
    Indicates a medium or method through which information is transmitted between parties.
  • B. communicationMode chosen
    Indicates the method or channel through which communication between entities is carried out.
  • C. opponentAtMidway
    Indicates that one entity is the opposing side or competitor of another in the context of the Midway event, location, or stage.
  • D. opponentSupporters
    Indicates that the related entities are supporters or backers of opposing sides in a contest, conflict, or competition.
  • E. dialogueWith
    Indicates that two entities are engaged in a mutual conversational exchange or dialogue with each other.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acaf30a48190a10ed7fee464c444 completed March 1, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69a4aa8d47c081909b02a53e305ccf7a completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.