Triple

T25823012
Position Surface form Disambiguated ID Type / Status
Subject Directive 2004/38/EC E650449 entity
Predicate repeals P6257 FINISHED
Object Directive 90/365/EEC
Directive 90/365/EEC was an EU measure granting residence rights to retired workers and self-employed persons in a member state other than their own, later replaced and consolidated by Directive 2004/38/EC.
E1719898 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: Directive 90/365/EEC | Statement: [Directive 2004/38/EC, repeals, Directive 90/365/EEC]
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: Directive 90/365/EEC
Triple: [Directive 2004/38/EC, repeals, Directive 90/365/EEC]
Generated description
Directive 90/365/EEC was an EU measure granting residence rights to retired workers and self-employed persons in a member state other than their own, later replaced and consolidated by Directive 2004/38/EC.

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_69e7ab367fcc8190a5ff1e7f3da046a4 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f60192afc881908dd64d8024d75329 completed May 2, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a119a31260c8190bab0e879bb081122 completed May 23, 2026, 12:14 p.m.
NEDg Description generation batch_6a119aa510bc819083c4e8264616f63a completed May 23, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_6a119b318d4881908d658464d8ea390c completed May 23, 2026, 12:18 p.m.
Created at: April 22, 2026, 7:30 a.m.