Triple
T33859596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flames Across the Border |
E867885
|
entity |
| Predicate | hasAmericanSubject |
P177792
|
FINISHED |
| Object | United States Army |
—
|
NE NERFINISHED |
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: United States Army | Statement: [Flames Across the Border, hasAmericanSubject, United States Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmericanSubject Context triple: [Flames Across the Border, hasAmericanSubject, United States Army]
-
A.
hasHumanSubject
Indicates that an entity serves as the human participant or subject involved in an action, event, or relation.
-
B.
hasUSAN
Indicates that an entity has a specified United States Adopted Name (USAN), typically a nonproprietary name assigned to a pharmaceutical substance.
-
C.
isAmerican
Indicates that an entity has American nationality or is from the United States.
-
D.
hasAcademicAllAmericans
Indicates that an institution or team possesses one or more individuals who have been recognized as Academic All-Americans.
-
E.
allyOfUnitedStates
Indicates a relationship where an entity maintains a supportive, cooperative, or formally allied partnership with the United States.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:47 a.m.