Triple

T10760328
Position Surface form Disambiguated ID Type / Status
Subject Pekelderdiep E253808 entity
Predicate flowsThrough P225 FINISHED
Object Nieuwe Pekela E253806 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: Nieuwe Pekela | Statement: [Pekelderdiep, flowsThrough, Nieuwe Pekela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nieuwe Pekela
Context triple: [Pekelderdiep, flowsThrough, Nieuwe Pekela]
  • A. Nieuwe Pekela chosen
    Nieuwe Pekela is a village in the municipality of Pekela in the province of Groningen in the northeastern Netherlands.
  • B. Boven Pekela
    Boven Pekela is a village in the municipality of Pekela in the province of Groningen in the northeastern Netherlands.
  • C. Tangshan
    Tangshan is a major industrial city in northern China, historically known for its coal mining, steel production, and the devastating 1976 earthquake.
  • D. Beihai
    Beihai is a coastal city in China's Guangxi Zhuang Autonomous Region, known for its beaches, maritime trade, and the scenic Silver Beach tourist area.
  • E. Lingang
    Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a14c7481909c6f4f9b15dc130f completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0b5c9d8819088edb21a35d8b0dc completed April 14, 2026, 9:25 p.m.
Created at: April 8, 2026, 9:16 p.m.