Triple
T134682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Parliament (Brussels seat) |
E2722
|
entity |
| Predicate | hostsMany |
P3556
|
FINISHED |
| Object | plenary sittings of the European Parliament |
—
|
LITERAL 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: plenary sittings of the European Parliament | Statement: [European Parliament (Brussels seat), hostsMany, plenary sittings of the European Parliament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostsMany Context triple: [European Parliament (Brussels seat), hostsMany, plenary sittings of the European Parliament]
-
A.
hostsUnit
chosen
Indicates that one entity serves as the location or container in which another unit is situated, operates, or is organized.
-
B.
hostRange
Indicates the range or set of different hosts that an organism, agent, or system can successfully inhabit, infect, or interact with.
-
C.
host
Indicates that one entity provides space, resources, or services to accommodate, receive, or entertain another entity.
-
D.
hubFor
Indicates that one entity serves as a central node or focal point through which activities, connections, or resources related to another entity are organized or routed.
-
E.
hostsExperiment
Indicates that one entity provides the environment or infrastructure in which another entity’s experiment is conducted or run.
- F. None of above.
Provenance (3 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a3ad908190b6a8652f09ae0cbb |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25650251c81908a6ea6368cd61198 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.