Triple
T32037418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of American Samoa |
E818131
|
entity |
| Predicate | borderColorMeaning |
P38214
|
FINISHED |
| Object | red represents courage |
—
|
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 represents courage | Statement: [Flag of American Samoa, borderColorMeaning, red represents courage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderColorMeaning Context triple: [Flag of American Samoa, borderColorMeaning, red represents courage]
-
A.
borderColor
Indicates the color that forms the boundary or outline of an entity.
-
B.
borderText
Indicates that one entity is the textual content displayed along the border of another entity.
-
C.
borderWithin
Indicates that one region’s border lies entirely inside the boundary of another region.
-
D.
borderSignificance
Indicates the degree of importance, impact, or relevance that a particular border or boundary has in a given context or relationship.
-
E.
borderCharacteristic
chosen
Indicates that one entity specifies a property, feature, or quality of the border or boundary of another entity.
- 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_69f348fbc8148190b3c0f95d4772b153 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fee335cb08819097e3a0e09d5ebf49 |
completed | May 9, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69fee2c74fd88190acfc045ab07b7f6b |
completed | May 9, 2026, 7:31 a.m. |
Created at: May 1, 2026, 12:19 a.m.