Triple

T5749722
Position Surface form Disambiguated ID Type / Status
Subject Antwerp Province E126820 entity
Predicate contains P35 FINISHED
Object Lier E222534 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: Lier | Statement: [Antwerp Province, contains, Lier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lier
Context triple: [Antwerp Province, contains, Lier]
  • A. Lier chosen
    Lier is a historic Belgian city in the province of Antwerp, known for its picturesque medieval center, the Zimmer Tower, and its UNESCO-listed beguinage.
  • B. Lier
    Lier is a municipality in Buskerud county, Norway, known for its agricultural landscapes and proximity to the city of Drammen.
  • C. Lierde
    Lierde is a small municipality in the Flemish province of East Flanders, Belgium, known for its rural character and rolling countryside.
  • D. Kortrijk
    Kortrijk is a historic city in western Belgium known for its medieval architecture, textile industry heritage, and role in the Battle of the Golden Spurs.
  • E. 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.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288870fc819080e883c9d589359b completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e358d908190a37e5df89df3aedc completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.