Triple

T33559048
Position Surface form Disambiguated ID Type / Status
Subject Regulation (EU) No 603/2013 E859562 entity
Predicate officialName P66 FINISHED
Object Regulation (EU) No 603/2013 of the European Parliament and of the Council of 26 June 2013 on the establishment of Eurodac for the comparison of fingerprints for the effective application of Regulation (EU) No 604/2013
Regulation (EU) No 603/2013 is an EU law that sets up and governs the Eurodac fingerprint database used to help determine which Member State is responsible for examining an asylum application under the Dublin system.
E243141 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: Regulation (EU) No 603/2013 of the European Parliament and of the Council of 26 June 2013 on the establishment of Eurodac for the comparison of fingerprints for the effective application of Regulation (EU) No 604/2013 | Statement: [Regulation (EU) No 603/2013, officialName, Regulation (EU) No 603/2013 of the European Parliament and of the Council of 26 June 2013 on the establishment of Eurodac for the comparison of fingerprints for the effective application of Regulation (EU) No 604/2013]
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: Regulation (EU) No 603/2013 of the European Parliament and of the Council of 26 June 2013 on the establishment of Eurodac for the comparison of fingerprints for the effective application of Regulation (EU) No 604/2013
Triple: [Regulation (EU) No 603/2013, officialName, Regulation (EU) No 603/2013 of the European Parliament and of the Council of 26 June 2013 on the establishment of Eurodac for the comparison of fingerprints for the effective application of Regulation (EU) No 604/2013]
Generated description
Regulation (EU) No 603/2013 is an EU law that sets up and governs the Eurodac fingerprint database used to help determine which Member State is responsible for examining an asylum application under the Dublin system.

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_69f3497b2b68819093207971b5e13dc8 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f710b7888190bc126708071a1ccc completed May 3, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35afd4798481908555f21a9be07981 completed June 19, 2026, 9:08 p.m.
NEDg Description generation batch_6a35b0c25c1c8190ada309c2251b5e81 completed June 19, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_6a35b136dd448190bc8d46ef07faaae1 completed June 19, 2026, 9:14 p.m.
Created at: May 1, 2026, 1:40 a.m.