Triple

T9540514
Position Surface form Disambiguated ID Type / Status
Subject Plattling E230143 entity
Predicate locatedInEurozone P89693 FINISHED
Object euro area 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: euro area | Statement: [Plattling, locatedInEurozone, euro area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInEurozone
Context triple: [Plattling, locatedInEurozone, euro area]
  • A. eurozoneMember
    Indicates that an entity is a country that belongs to the Eurozone, i.e., it uses the euro as its official currency within the European Union’s monetary union.
  • B. locatedInNorthernEurope
    Indicates that the subject is geographically situated within the region of Northern Europe.
  • C. isNotEuroMemberCurrency
    Indicates that a currency does not belong to the group of official currencies used by member countries of the Eurozone.
  • D. positionOnEuro
    Indicates that an entity holds a specific official role or position within the institutions or organizational structure of the European Union.
  • E. positionOnEEA
    Indicates that one entity occupies a specific location or role on an entity-entity-attribute (EEA) structure or representation.
  • F. None of above. chosen

Provenance (4 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e695948190ab107fff38c57de7 completed April 1, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69ccd58bd21881908b860e3ee469af13 completed April 1, 2026, 8:21 a.m.
PDg Predicate description generation batch_69ccd93e90048190a2b0d7c5c195ba98 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:01 p.m.