Triple
T33886157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protocol No 26 on services of general interest |
E868638
|
entity |
| Predicate | legalStatus |
P64
|
FINISHED |
| Object | integral part of the EU Treaties |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: integral part of the EU Treaties | Statement: [Protocol No 26 on services of general interest, legalStatus, integral part of the EU Treaties]
Provenance (2 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_69f34996761c8190864e42f7c9cf215b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7013fffc8819080421f354d61c677 |
completed | May 3, 2026, 8:03 a.m. |
Created at: May 1, 2026, 1:48 a.m.