Triple

T25164704
Position Surface form Disambiguated ID Type / Status
Subject Enschede fireworks disaster E630139 entity
Predicate fireworksCompany P157976 FINISHED
Object SE Fireworks
SE Fireworks was the Dutch fireworks company at the center of the 2000 Enschede disaster, one of the deadliest industrial accidents in the Netherlands.
 E1667196 NE FINISHED

How this triple was built (3 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: SE Fireworks | Statement: [Enschede fireworks disaster, fireworksCompany, SE Fireworks]
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: SE Fireworks
Triple: [Enschede fireworks disaster, fireworksCompany, SE Fireworks]
Generated description
SE Fireworks was the Dutch fireworks company at the center of the 2000 Enschede disaster, one of the deadliest industrial accidents in the Netherlands.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: fireworksCompany
Context triple: [Enschede fireworks disaster, fireworksCompany, SE Fireworks]
  • A. hasPyrotechnics
    Indicates that an entity includes, uses, or features pyrotechnic effects or fireworks as part of its characteristics or activities.
  • B. fireworksLocation
    Indicates the place where fireworks are set off, displayed, or occur.
  • C. fireworksDisplayDate
    Indicates the date on which a fireworks display is scheduled to occur or took place.
  • D. firingPlatform
    Indicates a platform or structure from which a weapon or projectile is launched or fired.
  • E. fireEffect
    Indicates that one entity produces, causes, or is associated with a fire-related impact or consequence on another entity.
  • F. None of above. chosen

Provenance (7 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_69e75a87c9b88190ab60731902a99750 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f46d412708819085a257ca1f736788 completed May 1, 2026, 9:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105d14030c819094cece142b2f43a0 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105df5bf44819082f76c7e8c6728b2 completed May 22, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a105f4ef2648190a3b26415b711b171 completed May 22, 2026, 1:51 p.m.
PD Predicate disambiguation batch_69f44d8043b081908bbffd7f044b4f26 completed May 1, 2026, 6:51 a.m.
PDg Predicate description generation batch_69f45300bd488190bb1d4160f5534ef6 completed May 1, 2026, 7:15 a.m.
Created at: April 21, 2026, 12:16 p.m.