Triple
T10363191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estelada flag |
E244185
|
entity |
| Predicate | meaningOfTriangle |
P93878
|
FINISHED |
| Object | aspiration to statehood |
—
|
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: aspiration to statehood | Statement: [Estelada flag, meaningOfTriangle, aspiration to statehood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfTriangle Context triple: [Estelada flag, meaningOfTriangle, aspiration to statehood]
-
A.
artTriangleWith
Indicates a relationship where one entity forms or is associated with a triangle together with two other specified entities.
-
B.
meaningOfWord3
Indicates that one entity specifies or defines the sense or interpretation of a third word or term.
-
C.
cornerOfTriangle
Indicates that the subject is a vertex (corner point) belonging to a specific triangle.
-
D.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
-
E.
hasTriangle
Indicates that an entity possesses, contains, or is associated with a triangle.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, noon