Triple

T10817651
Position Surface form Disambiguated ID Type / Status
Subject Boven Pekela E255273 entity
Predicate hasMunicipality P847 FINISHED
Object Pekela E51701 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: Pekela | Statement: [Boven Pekela, hasMunicipality, Pekela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekela
Context triple: [Boven Pekela, hasMunicipality, Pekela]
  • A. Pekela chosen
    Pekela is a municipality in the province of Groningen in the northeastern Netherlands, known for its rural character and historical peat colonies.
  • B. Kotek
    Kotek is the surname of Tina Kotek, an American politician who has served as Governor of Oregon and previously as Speaker of the Oregon House of Representatives.
  • C. Pianka
    Pianka is the surname of Eric R. Pianka, an influential American ecologist known for his work on lizard ecology and evolutionary biology.
  • D. Nattier
    Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
  • E. Mahuva
    Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eea03c8190a68f4d4f89f497a2 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6c077608190822d66b23866f5eb completed April 18, 2026, 12:56 a.m.
Created at: April 8, 2026, 9:18 p.m.