Triple
T16501551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priapulida |
E400810
|
entity |
| Predicate | proboscisMorphology |
P56645
|
FINISHED |
| Object | cylindrical and eversible |
—
|
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: cylindrical and eversible | Statement: [Priapulida, proboscisMorphology, cylindrical and eversible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proboscisMorphology Context triple: [Priapulida, proboscisMorphology, cylindrical and eversible]
-
A.
limbMorphology
Indicates the structural form, shape, and configuration of an organism’s limbs in relation to its body.
-
B.
snoutType
chosen
Indicates the type or form of an entity’s snout in relation to its overall morphology.
-
C.
eggMorphology
Indicates the relationship between an organism and the characteristics of its eggs, such as shape, size, structure, or surface features.
-
D.
beakShapeAdaptedTo
Indicates that an organism’s beak shape is specifically suited or modified to function effectively in a particular environment, diet, or ecological role.
-
E.
trapMorphology
Indicates the structural form or physical configuration of a trap in relation to the entity it belongs to.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e4f7b7c8190adb5a113f798484f |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.