Triple
T28420285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Guéret-2 |
E719921
|
entity |
| Predicate | legalBasis |
P125
|
FINISHED |
| Object |
Décret n° 2014-161 du 17 février 2014
Le décret n° 2014-161 du 17 février 2014 est un texte réglementaire français qui redéfinit les limites et la composition de plusieurs cantons, dont celui de Guéret-2, dans le cadre de la réforme territoriale.
|
E1818101
|
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: Décret n° 2014-161 du 17 février 2014 | Statement: [canton of Guéret-2, legalBasis, Décret n° 2014-161 du 17 février 2014]
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: Décret n° 2014-161 du 17 février 2014 Triple: [canton of Guéret-2, legalBasis, Décret n° 2014-161 du 17 février 2014]
Generated description
Le décret n° 2014-161 du 17 février 2014 est un texte réglementaire français qui redéfinit les limites et la composition de plusieurs cantons, dont celui de Guéret-2, dans le cadre de la réforme territoriale.
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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64dc5440c81908d4a4cda50011f1a |
completed | May 2, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a16331dd494819086eb8b9a31636719 |
completed | May 26, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a1634d732108190879d926709565d61 |
completed | May 27, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1637f2c5288190a0dedce173d7e17e |
completed | May 27, 2026, 12:16 a.m. |
Created at: April 28, 2026, 1:33 a.m.