Triple

T15531076
Position Surface form Disambiguated ID Type / Status
Subject Rijnmond E370216 entity
Predicate hasMedia P7961 FINISHED
Object TV Rijnmond E1162594 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: TV Rijnmond | Statement: [Rijnmond, hasMedia, TV Rijnmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV Rijnmond
Context triple: [Rijnmond, hasMedia, TV Rijnmond]
  • A. Radio Rijnmond chosen
    Radio Rijnmond is a regional public radio station serving the Rijnmond area around Rotterdam in the Netherlands, providing local news, sports, traffic, and cultural programming.
  • B. GVB Amsterdam
    GVB Amsterdam is the primary public transport operator in Amsterdam, running the city’s trams, buses, metros, and ferries.
  • C. Loenen aan de Vecht
    Loenen aan de Vecht is a picturesque historic village in the Dutch province of Utrecht, known for its riverside setting along the Vecht and its elegant country estates.
  • D. Rijnmond region
    The Rijnmond region is an urban and industrial area in the western Netherlands centered around the port city of Rotterdam and its surrounding municipalities.
  • E. Schijndel
    Schijndel is a town in the Dutch province of North Brabant, known for its rural character and location between the cities of ’s-Hertogenbosch and Eindhoven.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414773548190b3311515f9d957dd completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff45549e4881908ab0769e49ba5dc4 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:06 a.m.