Triple
T2505233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khoisan peoples |
E52561
|
entity |
| Predicate | bodyModification |
P27745
|
FINISHED |
| Object | scarification |
—
|
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: scarification | Statement: [Khoisan peoples, bodyModification, scarification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyModification Context triple: [Khoisan peoples, bodyModification, scarification]
-
A.
leafModification
Indicates a relationship where an entity undergoes or causes a change in the structure, form, or characteristics of a leaf.
-
B.
modifiesMorphologyOf
chosen
Indicates that one entity alters or changes the morphological structure or form of another entity.
-
C.
bodyCovering
Indicates the type of external covering or surface (such as skin, fur, feathers, or scales) that characterizes an entity’s body.
-
D.
facelift
Indicates that an entity undergoes a cosmetic surgical procedure intended to tighten or rejuvenate its facial appearance.
-
E.
noseType
Indicates the specific shape or classification of a nose that an entity possesses.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.