Triple

T6553325
Position Surface form Disambiguated ID Type / Status
Subject Zeewolde E152380 entity
Predicate borderedBy P224 FINISHED
Object Ermelo E176019 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: Ermelo | Statement: [Zeewolde, borderedBy, Ermelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ermelo
Context triple: [Zeewolde, borderedBy, Ermelo]
  • A. Ermelo chosen
    Ermelo is a key agricultural and transport hub town located in South Africa’s Mpumalanga province.
  • B. Klerksdorp
    Klerksdorp is a historic mining and agricultural city in South Africa’s North West Province, known as one of the country’s oldest European settlements and a regional economic hub.
  • C. Winburg
    Winburg is a small historic town in South Africa’s Free State province, known as one of the country’s oldest Voortrekker settlements.
  • D. Krugersdorp
    Krugersdorp is a historic mining town in South Africa known for its gold deposits and location on the West Rand of the Gauteng province.
  • E. Bredasdorp
    Bredasdorp is a small agricultural town in South Africa’s Western Cape, known as a gateway to the southern Overberg region and nearby coastal and nature attractions.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae0847d88190b38f9d7dba0faae1 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4234c148190b19d36903cb67651 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:51 p.m.