Triple
T14797394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adowa |
E347815
|
entity |
| Predicate | primaryBodyPartEmphasis |
P105236
|
FINISHED |
| Object | hands |
—
|
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: hands | Statement: [Adowa, primaryBodyPartEmphasis, hands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBodyPartEmphasis Context triple: [Adowa, primaryBodyPartEmphasis, hands]
-
A.
typicalBodyPart
chosen
Indicates that one entity is a body part that is characteristically or normally associated with another entity.
-
B.
isProminentPartOf
Indicates that something forms a major, highly noticeable, or significant component of a larger whole.
-
C.
primaryBody
Indicates that one entity serves as the main or principal body associated with another entity.
-
D.
primaryBodyType
Indicates the main physical form or category that characterizes an entity’s overall body structure or composition.
-
E.
injuredBodyPart
Indicates that an entity has sustained an injury specifically affecting a particular body part.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd6131f08190885f1d27b4bfac7a |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.