Triple

T5776621
Position Surface form Disambiguated ID Type / Status
Subject Oostelijk Havengebied E127457 entity
Predicate hasPart P35 FINISHED
Object KNSM-eiland E176124 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: KNSM-eiland | Statement: [Oostelijk Havengebied, hasPart, KNSM-eiland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KNSM-eiland
Context triple: [Oostelijk Havengebied, hasPart, KNSM-eiland]
  • A. Hoeksche Waard island
    Hoeksche Waard island is a largely rural island and region in South Holland, Netherlands, known for its agricultural landscape and small towns.
  • B. KNSM Island chosen
    KNSM Island is a redeveloped former harbor area in Amsterdam known for its modern residential architecture and waterfront urban living.
  • C. Sauwerd
    Sauwerd is a small village in the Dutch province of Groningen, known for its rural character and location along the railway between Groningen and Roodeschool.
  • D. Duivelseiland
    Duivelseiland is a small, upscale residential neighborhood in Amsterdam, known for its elegant architecture and central yet quiet urban setting.
  • E. Lessines
    Lessines is a historic town in the Hainaut province of Wallonia, Belgium, known for its old stone quarries and the former Hôpital Notre-Dame à la Rose.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029dfccdc8190bed937f493e42aed completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0980d833481908e69a80a63bbe256 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:50 p.m.