Triple
T27251139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alba |
E687487
|
entity |
| Predicate | hasPoliticalUsage |
P119319
|
FINISHED |
| Object | name of the Alba Party |
—
|
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: name of the Alba Party | Statement: [Alba, hasPoliticalUsage, name of the Alba Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalUsage Context triple: [Alba, hasPoliticalUsage, name of the Alba Party]
-
A.
usedInPoliticalDiscourse
chosen
Indicates that something is employed as a term, concept, or reference within political discussion, debate, or rhetoric.
-
B.
hasPoliticalComponent
Indicates that something includes, involves, or is influenced by political factors, interests, or considerations.
-
C.
usedAsPoliticalPawnBy
Indicates that one entity is manipulated or exploited by another for political advantage or strategic political purposes.
-
D.
usesPoliticalLabel
Indicates that one entity applies or assigns a specific political label or classification to another entity.
-
E.
usesPoliticalSymbol
Indicates that an entity employs or displays a political symbol in its actions, communications, or representations.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 27, 2026, 10:45 a.m.