Triple
T32505777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suruga Kanbaru |
E830788
|
entity |
| Predicate | armCondition |
P174521
|
FINISHED |
| Object | wrapped in bandages |
—
|
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: wrapped in bandages | Statement: [Suruga Kanbaru, armCondition, wrapped in bandages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armCondition Context triple: [Suruga Kanbaru, armCondition, wrapped in bandages]
-
A.
armType
Indicates the specific kind or configuration of an arm associated with an entity.
-
B.
handCondition
Indicates the state or quality of a hand, such as its health, functionality, or any specific condition affecting it.
-
C.
arms
Indicates that one entity supplies weapons or military equipment to another entity.
-
D.
hasArm
Indicates that one entity possesses or is equipped with an arm as a physical part or component of itself.
-
E.
armsFeature
Indicates that an entity possesses arms as a notable physical feature.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c44b26a88190be979e894c7dfd38 |
completed | May 3, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: May 1, 2026, 1 a.m.