Triple

T16704707
Position Surface form Disambiguated ID Type / Status
Subject Upper Sticht E405936 entity
Predicate partOf P40 FINISHED
Object Sticht E1229591 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: Sticht | Statement: [Upper Sticht, partOf, Sticht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sticht
Context triple: [Upper Sticht, partOf, Sticht]
  • A. Emstek
    Emstek is a municipality in Lower Saxony, Germany, situated in the district of Cloppenburg and known for its rural character and agricultural economy.
  • B. Reimerswaal
    Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
  • C. Lower Sticht chosen
    Lower Sticht is a historical region in the central Netherlands, corresponding to the lower part of the former Prince-Bishopric of Utrecht.
  • D. Waal
    The Waal is a major distributary branch of the Rhine River in the Netherlands, serving as an important waterway for shipping and part of the country’s main river system.
  • E. Geul
    The Geul is a small river in the southeastern Netherlands and eastern Belgium, known for flowing through the hilly Limburg landscape and picturesque villages before joining the Meuse.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3833496dc8190ae4b4a03ba04d69d completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d38a1348190bf51af9847a16aa5 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:19 a.m.