Triple
T5833449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Panama |
E129406
|
entity |
| Predicate | bottomRightCantonSymbol |
P67445
|
FINISHED |
| Object | red five-pointed star |
—
|
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: red five-pointed star | Statement: [Flag of Panama, bottomRightCantonSymbol, red five-pointed star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bottomRightCantonSymbol Context triple: [Flag of Panama, bottomRightCantonSymbol, red five-pointed star]
-
A.
cantonSymbol
Indicates that one entity serves as the official symbol or emblem representing a particular canton.
-
B.
hasCanton
Indicates that an entity is administratively divided into, or associated with, a specific canton.
-
C.
governingCantonCapital
Indicates that a city serves as the capital and administrative seat of the specified canton.
-
D.
sourceCanton
Indicates the canton from which something or someone originates or is sourced.
-
E.
officialNameOfCanton
Indicates that one entity is the official, legally recognized name assigned to a particular canton.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c044a9c4f0819081b8c196932883f6 |
completed | March 22, 2026, 7:36 p.m. |
Created at: March 22, 2026, 3:54 p.m.