Triple
T7324184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bureau of the European Parliament |
E168824
|
entity |
| Predicate | hasTermLinkedTo |
P2920
|
FINISHED |
| Object | legislative term 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: legislative term of the European Parliament | Statement: [Bureau of the European Parliament, hasTermLinkedTo, legislative term of the European Parliament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTermLinkedTo Context triple: [Bureau of the European Parliament, hasTermLinkedTo, legislative term of the European Parliament]
-
A.
hasTerm
chosen
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
-
B.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
C.
linkedToDate
Indicates that an entity is associated or connected to a specific date or point in time.
-
D.
symbolLinked
Indicates a relationship where one symbol is connected or associated with another symbol, typically to show reference, correspondence, or linkage between them.
-
E.
linkedByServiceTo
Indicates that one entity is connected or associated with another through a specific service acting as the linking mechanism.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f046b93c8190a80dd48ee409ec5d |
completed | March 27, 2026, 9:01 p.m. |
| PD | Predicate disambiguation | batch_69c6e77230048190b2c29ca6b3a65b8e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:03 p.m.