Triple

T8445139
Position Surface form Disambiguated ID Type / Status
Subject Paris–Cologne E199653 entity
Predicate viaCountry P83399 FINISHED
Object Belgium E364 NE FINISHED

How this triple was built (3 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: Belgium | Statement: [Paris–Cologne, viaCountry, Belgium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belgium
Context triple: [Paris–Cologne, viaCountry, Belgium]
  • A. Belgium chosen
    Belgium is a Western European country known for its role as a founding member of major international organizations, including NATO and the European Union, and for hosting many of their key institutions.
  • B. Belgium and Luxembourg
    Belgium and Luxembourg are neighboring Western European countries that share a close historical, economic, and cultural relationship within the Benelux union.
  • C. Belgium and the Netherlands
    Belgium and the Netherlands are neighboring Western European countries known for their shared lowland geography, dense river networks, and closely intertwined cultural and economic ties.
  • D. Belgian Luxembourg
    Belgian Luxembourg is a province in the Walloon region of southern Belgium, known for its largely rural landscape, Ardennes forests, and historic towns near the borders with Luxembourg and France.
  • E. Belgium and France
    Belgium and France are neighboring Western European countries that share a long land border, close cultural and historical ties, and membership in the European Union and Schengen Area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: viaCountry
Context triple: [Paris–Cologne, viaCountry, Belgium]
  • A. country2
    Indicates a secondary or alternative country associated with an entity, such as a second nationality, location, or jurisdiction.
  • B. countryResponse
    Indicates that a country issues, provides, or expresses a reply, reaction, or stance in response to a particular event, request, or situation.
  • C. country1
    Indicates that the subject entity is a country (or represents a country) in the given context.
  • D. seeCountry
    Indicates that one entity observes, visits, or becomes aware of a particular country.
  • E. countryTried
    Indicates that a country has conducted a judicial trial or legal proceedings against an entity.
  • F. None of above. chosen

Provenance (5 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe3138ee08190918cd82adbe2d9a1 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce390e811481909e7620b15bd81e93 completed April 2, 2026, 9:38 a.m.
PD Predicate disambiguation batch_69cbd0f5a3648190beb53a139a2d5482 completed March 31, 2026, 1:49 p.m.
PDg Predicate description generation batch_69cbe30c2d088190b4cb89adb4e88273 completed March 31, 2026, 3:06 p.m.
Created at: March 30, 2026, 6:09 p.m.