Triple
T25790209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rural Development Programmes in the United Kingdom |
E649526
|
entity |
| Predicate | legalBasis |
P125
|
FINISHED |
| Object |
EU Rural Development Regulation for 2014–2020
The EU Rural Development Regulation for 2014–2020 is a key European Union legal framework that governed funding and policy measures to support rural economies, agriculture, the environment, and community development across member states during that programming period.
|
E1698850
|
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: EU Rural Development Regulation for 2014–2020 | Statement: [Rural Development Programmes in the United Kingdom, legalBasis, EU Rural Development Regulation for 2014–2020]
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: EU Rural Development Regulation for 2014–2020 Triple: [Rural Development Programmes in the United Kingdom, legalBasis, EU Rural Development Regulation for 2014–2020]
Generated description
The EU Rural Development Regulation for 2014–2020 is a key European Union legal framework that governed funding and policy measures to support rural economies, agriculture, the environment, and community development across member states during that programming period.
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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fefe75088190adc0e8b14e41b2c5 |
completed | May 2, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10da10a6848190a25efc1f124c4144 |
completed | May 22, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_6a10dc6fb1508190a14c70bbe0302671 |
completed | May 22, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10dd08394081908d41ab46ad30a279 |
completed | May 22, 2026, 10:47 p.m. |
Created at: April 22, 2026, 5:58 a.m.