Triple

T14292726
Position Surface form Disambiguated ID Type / Status
Subject Stichtse Vecht E354355 entity
Predicate formedByMergerOf P77 FINISHED
Object Loenen E1458827 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: Loenen | Statement: [Stichtse Vecht, formedByMergerOf, Loenen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loenen
Context triple: [Stichtse Vecht, formedByMergerOf, Loenen]
  • A. Loenen chosen
    Loenen was a former Dutch municipality in the province of Utrecht that later became part of the municipality of Stichtse Vecht.
  • B. Valkenswaard
    Valkenswaard is a town in the southern Netherlands known for its strong equestrian culture and international show jumping events.
  • C. Eeklo
    Eeklo is a small city and municipality in northwestern Belgium known for its historic town center and location in the Flemish region.
  • D. Leerdam
    Leerdam is a Dutch city renowned for its glassmaking tradition, located in the province of South Holland.
  • E. Nijverdal
    Nijverdal is a town in the Dutch province of Overijssel known as a gateway to the Sallandse Heuvelrug National Park and its surrounding natural landscapes.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de7179368081908117a9ccfbf94fd4 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23c937f88190bf9b00fb5b2907f5 completed May 19, 2026, 8:48 a.m.
Created at: April 10, 2026, 1:11 a.m.