Triple

T4741057
Position Surface form Disambiguated ID Type / Status
Subject Rutger Jan Schimmelpenninck E105241 entity
Predicate familyName P18 FINISHED
Object Schimmelpenninck E105241 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: Schimmelpenninck | Statement: [Rutger Jan Schimmelpenninck, familyName, Schimmelpenninck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schimmelpenninck
Context triple: [Rutger Jan Schimmelpenninck, familyName, Schimmelpenninck]
  • A. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • B. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • C. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • D. Rutger Jan Schimmelpenninck chosen
    Rutger Jan Schimmelpenninck was a Dutch statesman and lawyer who served as Grand Pensionary and effectively head of state of the Batavian Republic in the early 19th century.
  • E. Benschop
    Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a5f3548190a6acf1dcfd64d11d completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a28ca648190a44d178826926812 completed March 21, 2026, 6:26 a.m.
Created at: March 20, 2026, 1:19 p.m.