Triple
T24290475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pachypodium namaquanum |
E605801
|
entity |
| Predicate | silhouette |
P40118
|
FINISHED |
| Object | human-like appearance |
—
|
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: human-like appearance | Statement: [Pachypodium namaquanum, silhouette, human-like appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: silhouette Context triple: [Pachypodium namaquanum, silhouette, human-like appearance]
-
A.
hasSilhouetteShape
chosen
Indicates that one entity has the overall outline or contour shape specified or characterized by another entity.
-
B.
sillage
Indicates the lingering trail or trace left behind by something (such as a scent, movement, or presence) as it moves through space.
-
C.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
D.
introducedSilhouette
Indicates that one entity caused another entity to first appear or be presented in outline or partial form, rather than in full detail.
-
E.
الشكل
Indicates a relationship where one entity represents, takes, or describes the form, shape, or configuration 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f29155e3cc8190808723d6b56dcfc0 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:08 a.m.