Triple

T1713962
Position Surface form Disambiguated ID Type / Status
Subject Ecolo E37247 entity
Predicate hasYouthWing P1088 FINISHED
Object Ecolo J E37247 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: Ecolo J | Statement: [Ecolo, hasYouthWing, Ecolo J]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ecolo J
Context triple: [Ecolo, hasYouthWing, Ecolo J]
  • A. Ecolo chosen
    Ecolo is a Belgian French- and German-speaking green political party known for its focus on environmentalism, social justice, and progressive policies.
  • B. Eco
    Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
  • C. ECO
    ECO (Economic Cooperation Organization) is a regional intergovernmental organization that promotes economic, technical, and cultural cooperation among countries in Eurasia, particularly in Central and South Asia and the Middle East.
  • D. JEC
    JEC is a bipartisan U.S. congressional committee that analyzes economic conditions and advises Congress on economic policy.
  • E. Eco-Age
    Eco-Age is a sustainability-focused consultancy and communications agency known for helping brands improve and showcase their environmental and ethical practices.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa633349248190822e560fde817fc7 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ae10a048190b7a39e4fb4fbe224 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.