Triple
T5312652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacup Coconutters |
E119069
|
entity |
| Predicate | usesBodyDecoration |
P38145
|
FINISHED |
| Object | face blackening |
—
|
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: face blackening | Statement: [Bacup Coconutters, usesBodyDecoration, face blackening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBodyDecoration Context triple: [Bacup Coconutters, usesBodyDecoration, face blackening]
-
A.
belongsToBody
Indicates that something is a part of, or under the ownership/authority of, a particular body or organization.
-
B.
hasDecor
chosen
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
C.
supportsBody
Indicates that one entity physically or structurally holds up, bears the weight of, or provides foundational stability for another entity’s body.
-
D.
usesBodyPart
Indicates that an entity performs an action or function by employing a specific body part as a means or tool.
-
E.
hasBodyOf
Indicates that one entity possesses, contains, or is composed of the physical body or main substance of another entity.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:54 p.m.