Triple

T7678930
Position Surface form Disambiguated ID Type / Status
Subject Amer River E173937 entity
Predicate locatedNear P294 FINISHED
Object Werkendam E157871 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: Werkendam | Statement: [Amer River, locatedNear, Werkendam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Werkendam
Context triple: [Amer River, locatedNear, Werkendam]
  • A. Werkendam chosen
    Werkendam is a town in the Dutch province of North Brabant, known as a gateway to the Biesbosch National Park and its riverine landscapes.
  • B. Brouwersdam
    Brouwersdam is a major Dutch dam and causeway in the Rhine–Meuse–Scheldt delta, built as part of the Delta Works to protect the Netherlands from North Sea flooding while supporting road traffic and water management.
  • C. Bodegraven
    Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
  • D. Roderwolde
    Roderwolde is a small rural village in the Dutch province of Drenthe, known for its historic church and traditional countryside landscape.
  • E. Woensdrecht
    Woensdrecht is a municipality in the Dutch province of North Brabant, known for its strategic location near the Belgian border and its military air base.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701fe2cc88190b5fd5e1378c32e5b completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9cd7f9b2c81908a1f77a9cc37a0be completed March 30, 2026, 1:10 a.m.
Created at: March 27, 2026, 4:01 p.m.