Triple

T15577874
Position Surface form Disambiguated ID Type / Status
Subject Maria van Oosterwijck E374414 entity
Predicate placeOfDeath P21 FINISHED
Object Uitdam E540339 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: Uitdam | Statement: [Maria van Oosterwijck, placeOfDeath, Uitdam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uitdam
Context triple: [Maria van Oosterwijck, placeOfDeath, Uitdam]
  • A. Uitdam chosen
    Uitdam is a small village in the Dutch province of North Holland, situated along the IJsselmeer and known for its traditional rural landscape and historic houses.
  • B. Ilpendam
    Ilpendam is a small village in the Dutch province of North Holland, known for its traditional rural character and proximity to Amsterdam.
  • C. Onderdendam
    Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
  • D. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • E. Steendam
    Steendam is a small village in the province of Groningen in the Netherlands, known for its rural setting near the Schildmeer lake.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e22c89081909b1ec0cd36a1ef45 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4b3a8881909d41204a0b243461 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.