Triple

T8908153
Position Surface form Disambiguated ID Type / Status
Subject European People's Party E212112 entity
Predicate hasAbbreviation P43 FINISHED
Object EPP E212112 NE 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: EPP | Statement: [European People's Party, hasAbbreviation, EPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EPP
Context triple: [European People's Party, hasAbbreviation, EPP]
  • A. EPP chosen
    EPP is a major center-right, pro-European political party at the European level, bringing together Christian democratic and conservative parties from across the European Union.
  • B. ECP
    ECP is a fundamental syntactic constraint in generative grammar that governs where empty categories (such as traces) can appear in sentence structure.
  • C. ECP
    ECP is Pakistan’s independent constitutional body responsible for organizing and overseeing national and provincial elections.
  • D. EPP Women
    EPP Women is the official women’s organization of the European People’s Party, promoting gender equality and women’s political participation within center-right politics in Europe.
  • E. EPU
    EPU is the three-letter station code used by Transport for London to identify East Putney tube station on the London Underground network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c6a87c81909331a39619f913c0 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1cdfa6c8190af7b6312c73d59f9 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:55 p.m.