Triple

T9518202
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Mersen E229577 entity
Predicate placeSigned P441 FINISHED
Object Meerssen E691114 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: Meerssen | Statement: [Treaty of Mersen, placeSigned, Meerssen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meerssen
Context triple: [Treaty of Mersen, placeSigned, Meerssen]
  • A. Meerssen chosen
    Meerssen is a historic town and municipality in the Dutch province of Limburg, known for its medieval basilica and scenic location near Maastricht.
  • B. Maasbracht
    Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
  • C. Wateringen
    Wateringen is a town in the western Netherlands that forms part of the municipality of Westland in the province of South Holland.
  • D. Zierikzee
    Zierikzee is a historic Dutch town on the island of Schouwen-Duiveland in Zeeland, known for its well-preserved medieval center and maritime heritage.
  • E. Sommelsdijk
    Sommelsdijk is a village in the Netherlands located on the island of Goeree-Overflakkee in the province of South Holland.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9880417c819097dde277988df36d completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a4aeb008190ae5d54367efe2722 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.