Triple
T776110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nematoda |
E16389
|
entity |
| Predicate | bodyCavity |
P3722
|
FINISHED |
| Object | pseudocoelomate |
—
|
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: pseudocoelomate | Statement: [Nematoda, bodyCavity, pseudocoelomate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyCavity Context triple: [Nematoda, bodyCavity, pseudocoelomate]
-
A.
mainOrganOf
Indicates that one entity is the primary or central organ responsible for the core functions of another entity (such as an organism or system).
-
B.
body
Indicates that one entity is the physical body or main corporeal form of another entity.
-
C.
compartment
chosen
Indicates that one entity is a distinct, enclosed or functionally separated part or section within another entity.
-
D.
mouthOf
Indicates the location where one entity (typically a river or similar feature) empties into or opens out into another, larger body or feature.
-
E.
seatOnBody
Indicates that one entity functions as a seat or seating surface that is physically attached or integrated to a body or body-like structure.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a74da7648190adfad56717d564df |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a50a443481909ae3662764ee69a4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.