Triple
T6723777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lone Star Series |
E153458
|
entity |
| Predicate | trophyDesignFeature |
P38093
|
FINISHED |
| Object | Silver boot mounted on a wooden base |
—
|
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: Silver boot mounted on a wooden base | Statement: [Lone Star Series, trophyDesignFeature, Silver boot mounted on a wooden base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophyDesignFeature Context triple: [Lone Star Series, trophyDesignFeature, Silver boot mounted on a wooden base]
-
A.
trophyFeatures
chosen
Indicates that a trophy possesses or is characterized by certain features or attributes.
-
B.
trophyDesigner
Indicates that one entity is the designer or creator of a particular trophy associated with another entity.
-
C.
currentTrophyDesign
Indicates the specific design or style that is currently used for a particular trophy.
-
D.
trophyUse
Indicates that an entity uses, employs, or utilizes a trophy in some manner or context.
-
E.
trophy
Indicates that one entity is a trophy awarded or possessed in relation to another entity, typically as a result of winning or achieving something.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:08 p.m.