Triple

T4284095
Position Surface form Disambiguated ID Type / Status
Subject Zuid-Holland E97222 entity
Predicate containsIsland P970 FINISHED
Object IJsselmonde E210458 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: IJsselmonde | Statement: [Zuid-Holland, containsIsland, IJsselmonde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IJsselmonde
Context triple: [Zuid-Holland, containsIsland, IJsselmonde]
  • A. IJsselmonde chosen
    IJsselmonde is an island and borough in the Dutch province of South Holland, located near Rotterdam and bordered by several major rivers.
  • B. Eemsmond
    Eemsmond was a former municipality in the province of Groningen in the Netherlands, located in the far north along the Wadden Sea coast.
  • C. Rijnmond
    Rijnmond is a region in the western Netherlands centered around the port city of Rotterdam and the Rhine–Meuse river delta.
  • D. Vechta
    Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
  • E. Oranjewoud
    Oranjewoud is a historic estate and village in the Dutch province of Friesland, long associated with the royal House of Orange-Nassau.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503c062c81908f9a9eeab5381ec9 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db874fb08190974a85cc139b020b completed March 14, 2026, 10:04 p.m.
Created at: March 12, 2026, 11:07 p.m.