Triple

T4974606
Position Surface form Disambiguated ID Type / Status
Subject Clifford Chance E111734 entity
Predicate hasOfficeIn P1268 FINISHED
Object Brussels E10018 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: Brussels | Statement: [Clifford Chance, hasOfficeIn, Brussels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brussels
Context triple: [Clifford Chance, hasOfficeIn, Brussels]
  • A. Brussels, Belgium chosen
    Brussels, Belgium is the capital city of Belgium and a major political center of Europe, hosting key institutions such as the European Union and numerous international organizations.
  • B. Antwerp
    Antwerp is a major Belgian port city on the River Scheldt, renowned as a global center for the diamond trade and its historic Flemish art and architecture.
  • C. Maastricht
    Maastricht is a historic city in the southeastern Netherlands known for its medieval architecture, vibrant cultural scene, and as the birthplace of the Maastricht Treaty that founded the European Union.
  • D. Brussels metropolitan area
    The Brussels metropolitan area is the large urban region centered on Belgium’s capital, encompassing Brussels and its surrounding municipalities and commuter towns.
  • E. Ghent
    Ghent is a small unincorporated community and ski-area destination located in Raleigh County, West Virginia, United States.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd722e77208190833dc760a57428d5 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0cd44088190ba26171758898497 completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:33 p.m.