Triple

T10792591
Position Surface form Disambiguated ID Type / Status
Subject Drechtsteden urban region E254618 entity
Predicate hasMemberMunicipality P47323 FINISHED
Object Sliedrecht E191303 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: Sliedrecht | Statement: [Drechtsteden urban region, hasMemberMunicipality, Sliedrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sliedrecht
Context triple: [Drechtsteden urban region, hasMemberMunicipality, Sliedrecht]
  • A. Sliedrecht chosen
    Sliedrecht is a town in the western Netherlands known for its historic shipbuilding and dredging industries along the river Merwede.
  • B. Duivendrecht
    Duivendrecht is a village in North Holland, Netherlands, situated just southeast of Amsterdam and known for its important railway junction and commuter links.
  • C. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • D. Albrandswaard
    Albrandswaard is a municipality in the western Netherlands, situated just south of Rotterdam in the province of South Holland.
  • E. Papendrecht
    Papendrecht is a Dutch town situated on the river Merwede in the province of South Holland, known for its residential character and proximity to the city of Dordrecht.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f7ad408190af4727dd9d459498 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bba60c8819087b614cea03eb078 completed May 9, 2026, 1:19 a.m.
Created at: April 8, 2026, 9:17 p.m.