Triple
T10363133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 Catalan self-determination referendum |
E244184
|
entity |
| Predicate | turnoutCharacterization |
P70548
|
FINISHED |
| Object | lower than official elections |
—
|
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: lower than official elections | Statement: [2014 Catalan self-determination referendum, turnoutCharacterization, lower than official elections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnoutCharacterization Context triple: [2014 Catalan self-determination referendum, turnoutCharacterization, lower than official elections]
-
A.
resultCharacterization
chosen
Indicates how the outcome of an event, process, or action is qualitatively described or characterized.
-
B.
ruleCharacterization
Indicates that one rule is described, defined, or characterized in terms of another rule or set of rules.
-
C.
groupCharacterization
Indicates how a group as a whole is described or characterized in terms of its shared properties, traits, or defining features.
-
D.
findingCharacterization
Indicates that a finding is being described or classified in terms of its nature, features, or diagnostic significance.
-
E.
scopeCharacterization
Indicates how the extent, boundaries, or coverage of something is defined, described, or qualified in relation to another entity or context.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e963a6148190822951e72590b9df |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, noon