Triple
T15713980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General (United States Army) |
E380911
|
entity |
| Predicate | starLevel |
P59739
|
FINISHED |
| Object | four-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: four-star | Statement: [General (United States Army), starLevel, four-star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starLevel Context triple: [General (United States Army), starLevel, four-star]
-
A.
star
Indicates that an entity has been given a special or highlighted status, often marking it as important, featured, or favorited in relation to others.
-
B.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
C.
starIs
Indicates that one entity is identified or classified as a star in relation to another entity or context.
-
D.
starType
Indicates the classification relationship specifying what type or category of star an astronomical object is.
-
E.
hasRatingLevel
chosen
Indicates that an entity is associated with a particular rating level or score category.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f90aea0819082a9e9fe0f7780b0 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.