Triple
T2590244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dawn Wall |
E58102
|
entity |
| Predicate | gearType |
P22553
|
FINISHED |
| Object | traditional protection and fixed bolts |
—
|
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: traditional protection and fixed bolts | Statement: [The Dawn Wall, gearType, traditional protection and fixed bolts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gearType Context triple: [The Dawn Wall, gearType, traditional protection and fixed bolts]
-
A.
gripType
Indicates the manner or style in which one entity physically holds or grasps another.
-
B.
kitType
chosen
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
C.
wheelType
Indicates the specific kind or category of wheel associated with an entity.
-
D.
armType
Indicates the specific kind or configuration of an arm associated with an entity.
-
E.
wearClassification
Indicates a classification relationship specifying the type or category of wear associated with an entity or interaction.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3feb45c81909369a49c3990294a |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.