Triple

T32407809
Position Surface form Disambiguated ID Type / Status
Subject Dutch Civil Code E828129 entity
Predicate contains P35 FINISHED
Object Book 8: Transport law
Book 8: Transport law is a section of the Dutch Civil Code that sets out the legal framework governing transport and related maritime, inland shipping, and logistics matters in the Netherlands.
E2005427 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: Book 8: Transport law | Statement: [Dutch Civil Code, contains, Book 8: Transport law]
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: Book 8: Transport law
Triple: [Dutch Civil Code, contains, Book 8: Transport law]
Generated description
Book 8: Transport law is a section of the Dutch Civil Code that sets out the legal framework governing transport and related maritime, inland shipping, and logistics matters in the Netherlands.

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_69f34919f300819092b541c6277cd68a completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c24ca0f08190a5b2c1d32205eaee completed May 3, 2026, 3:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a344f1c20b88190b08670fbbecff652 completed June 18, 2026, 8:03 p.m.
NEDg Description generation batch_6a344fc15a7481908e2e9774dcc7f2df completed June 18, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_6a3450b1ef4081909cdb8148e80f7dde completed June 18, 2026, 8:10 p.m.
Created at: May 1, 2026, 12:53 a.m.