Triple
T2282840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odin |
E51318
|
entity |
| Predicate | sacrificedBodyPart |
P18946
|
FINISHED |
| Object | one eye |
—
|
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 eye | Statement: [Odin, sacrificedBodyPart, one eye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sacrificedBodyPart Context triple: [Odin, sacrificedBodyPart, one eye]
-
A.
sacrifice
chosen
Indicates giving up something of value, often for the benefit, protection, or advantage of another entity or goal.
-
B.
seatOfBody
Indicates that one entity serves as the physical location or base where another entity (typically an organization or authority) is situated or headquartered.
-
C.
usesBodyPart
Indicates that an entity performs an action or function by employing a specific body part as a means or tool.
-
D.
limbType
Indicates the specific kind or category of limb associated with an entity (e.g., arm, leg, wing, fin).
-
E.
hasBodyRegion
Indicates that an entity possesses, includes, or is associated with a specific anatomical or bodily region.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc21d6d748190980128c1bc5b9621 |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.