Triple

T5509497
Position Surface form Disambiguated ID Type / Status
Subject Tynaarlo E144527 entity
Predicate locatedBetween P1262 FINISHED
Object Assen E132426 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: Assen | Statement: [Tynaarlo, locatedBetween, Assen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assen
Context triple: [Tynaarlo, locatedBetween, Assen]
  • A. Assen chosen
    Assen is a city in the northeastern Netherlands best known as the capital of the province of Drenthe and for hosting the annual TT Circuit motorcycle races.
  • B. Zandvoort
    Zandvoort is a Dutch coastal town on the North Sea known for its sandy beaches and the nearby Circuit Zandvoort motor racing track.
  • C. Zolder Circuit
    Zolder Circuit is a Belgian motorsport race track known for hosting major international events, including past Formula One Grands Prix and various touring and GT series.
  • D. Hindeloopen
    Hindeloopen is a small historic town in the Dutch province of Friesland, renowned for its traditional painted folk art and picturesque canals.
  • E. Rolandswerth
    Rolandswerth is a district of the German town of Remagen, situated along the Rhine River in the state of Rhineland-Palatinate.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4ba90c8190ad22e5de84c545f9 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027c4b6c0819086c7c64911c7106e completed March 22, 2026, 5:32 p.m.
Created at: March 22, 2026, 3:33 p.m.