Triple

T9312678
Position Surface form Disambiguated ID Type / Status
Subject APRALO E224041 entity
Predicate hasCounterpart P6587 FINISHED
Object EURALO E224042 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: EURALO | Statement: [APRALO, hasCounterpart, EURALO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EURALO
Context triple: [APRALO, hasCounterpart, EURALO]
  • A. EURALO chosen
    EURALO is the European Regional At-Large Organization within ICANN that represents the interests of individual internet users and civil society groups across Europe in global internet governance.
  • B. Euralille
    Euralille is a major urban development and business district in Lille, France, known for its high-speed rail hub and contemporary architecture integrating commercial, office, and public spaces.
  • C. EUG
    EUG is the IATA airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene and the surrounding region in western Oregon, United States.
  • D. EALA
    EALA is the regional legislative body of the East African Community responsible for making laws and providing oversight for the bloc.
  • E. EUN
    EUN was the Olympic country code for the Unified Team of former Soviet republics that competed together at the 1992 Winter and Summer Olympics.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20ae96e481909a1af9ea1c91f2b2 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3a3fb288190ac38f8df19eb1e79 completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:37 p.m.