Triple

T15934052
Position Surface form Disambiguated ID Type / Status
Subject Alvão Natural Park E386393 entity
Predicate contains P35 FINISHED
Object village of Ermelo E943380 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: village of Ermelo | Statement: [Alvão Natural Park, contains, village of Ermelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: village of Ermelo
Context triple: [Alvão Natural Park, contains, village of Ermelo]
  • A. village of Klazienaveen
    The village of Klazienaveen is a settlement in the municipality of Emmen in the province of Drenthe in the northeastern Netherlands.
  • B. village of Kwintsheul
    The village of Kwintsheul is a small Dutch settlement in the province of South Holland, known for its greenhouse horticulture and location within the Westland region.
  • C. Ermelo
    Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
  • D. Ermelo chosen
    Ermelo is a town in the province of Gelderland in the central Netherlands, known for its location near the Veluwe forests and heathlands.
  • E. Ikema village
    Ikema village is a small traditional settlement on Ikema Island in Okinawa Prefecture, Japan, known for its fishing community and Ryukyuan cultural heritage.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a7bdd88190b1d7349ef920fd06 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b514108190965e77346d8b476e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.