Triple
T3008742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Navy rear admiral |
E81963
|
entity |
| Predicate | starInsigniaCount |
P3335
|
FINISHED |
| Object | one-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: one-star | Statement: [United States Navy rear admiral, starInsigniaCount, one-star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starInsigniaCount Context triple: [United States Navy rear admiral, starInsigniaCount, one-star]
-
A.
starCount
chosen
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
B.
hasStarOn
Indicates that one entity bears or displays a star symbol positioned on another entity.
-
C.
starImage
Indicates that one entity is an image or visual representation of a star or stellar object.
-
D.
starPosition
Indicates the spatial location or coordinates of a star relative to a defined reference frame.
-
E.
starCountAboveEagle
Indicates that the number of stars associated with one entity is greater than the number of stars associated with the entity referred to as "Eagle."
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4ba6988190be29c00cd4266941 |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.