Triple

T8402020
Position Surface form Disambiguated ID Type / Status
Subject Volendam E198394 entity
Predicate hasNotableBand P6597 FINISHED
Object BZN
BZN is a Dutch pop band best known for its melodic, easy-listening songs and long-standing popularity in the Netherlands.
 E729561 NE FINISHED

How this triple was built (4 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: BZN | Statement: [Volendam, hasNotableBand, BZN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BZN
Context triple: [Volendam, hasNotableBand, BZN]
  • A. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • B. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • C. BZ
    BZ is the vehicle registration code used for the district and city of Bautzen in the German state of Saxony.
  • D. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • E. BZV
    BZV is the IATA airport code for Maya-Maya Airport, the main international airport serving Brazzaville in the Republic of the Congo.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BZN
Triple: [Volendam, hasNotableBand, BZN]
Generated description
BZN is a Dutch pop band best known for its melodic, easy-listening songs and long-standing popularity in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BZN
Target entity description: BZN is a Dutch pop band best known for its melodic, easy-listening songs and long-standing popularity in the Netherlands.
  • A. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • B. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • C. BZ
    BZ is the vehicle registration code used on license plates for the municipality of Rammenau in Germany.
  • D. BZ
    BZ is the vehicle registration code used for the district and city of Bautzen in the German state of Saxony.
  • E. BZV
    BZV is the IATA airport code for Maya-Maya Airport, the main international airport serving Brazzaville in the Republic of the Congo.
  • F. None of above. chosen

Provenance (5 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb824efa5c81908ce816cdb8e1fcfb completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde8789a608190a3503f544a19d204 completed April 2, 2026, 3:54 a.m.
NEDg Description generation batch_69cdebfe044c8190982caebb9e8b07c1 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdec6924d48190869cee400c5ff937 completed April 2, 2026, 4:11 a.m.
Created at: March 30, 2026, 6:04 p.m.