Triple

T4771963
Position Surface form Disambiguated ID Type / Status
Subject German presidential election, 1925 E105947 entity
Predicate mainOpponentPoliticalOrientation P20145 FINISHED
Object pro-republican 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: pro-republican | Statement: [German presidential election, 1925, mainOpponentPoliticalOrientation, pro-republican]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainOpponentPoliticalOrientation
Context triple: [German presidential election, 1925, mainOpponentPoliticalOrientation, pro-republican]
  • A. mainOpposingPolitician
    Indicates that one politician is the primary political rival or adversary of another.
  • B. politicalSide chosen
    Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
  • C. opposesPartyType
    Indicates that one party or entity is in opposition to, or acts against the interests or positions of, a particular type or category of party.
  • D. primaryOpposition
    Indicates the main or most significant opposing relationship between two entities, such as their chief rival, counterforce, or contrasting position.
  • E. opposedLeader
    Indicates that one entity actively resisted, challenged, or worked against the leadership or authority of another entity.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655e5dcc8190a932be9b1baaffb2 completed March 20, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69bd6229d8448190a271719e5e30fd82 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:21 p.m.