Triple
T34218588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odin, Vili and Vé |
E877861
|
entity |
| Predicate | usedBodyOf |
P110608
|
FINISHED |
| Object | Ymir |
—
|
NE NERFINISHED |
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: Ymir | Statement: [Odin, Vili and Vé, usedBodyOf, Ymir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedBodyOf Context triple: [Odin, Vili and Vé, usedBodyOf, Ymir]
-
A.
usesBody
chosen
Indicates that one entity employs or utilizes the physical body of another (or its own) as a means or instrument to perform an action or function.
-
B.
usesBodyPart
Indicates that an entity performs an action or function by employing a specific body part as a means or tool.
-
C.
tookBodyOf
Indicates that one entity physically removed, seized, or assumed possession of another entity’s body.
-
D.
adoptedByBodyOf
Indicates that a decision, document, or measure has been formally approved and accepted by a specific governing body or organization.
-
E.
associatedBody
Indicates a relationship where one entity is linked or connected to another entity as its related or corresponding body.
- 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_69f349b0b4bc819088c1552424089ee9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 1:55 a.m.