Triple
T226962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Union |
E4332
|
entity |
| Predicate | hasFlagDescription |
P182
|
FINISHED |
| Object | circle of twelve gold stars on a blue field |
—
|
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: circle of twelve gold stars on a blue field | Statement: [European Union, hasFlagDescription, circle of twelve gold stars on a blue field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlagDescription Context triple: [European Union, hasFlagDescription, circle of twelve gold stars on a blue field]
-
A.
hasLevelDescription
Indicates that an entity is associated with a textual description specifying its level, degree, or stage.
-
B.
hasHelpPoint
Indicates that one entity provides or contains a designated help or assistance point for another entity.
-
C.
hasFeature
chosen
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
D.
hasPartiesDescription
Indicates that a relationship or event includes a textual description of the parties involved.
-
E.
hasRule
Indicates that an entity is governed, constrained, or defined by a specific rule or set of rules.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b5877588190af694d060377f027 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.