Triple
T4459960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nephrozoa |
E98226
|
entity |
| Predicate | hasCirculatorySystemInManyMembers |
P10933
|
FINISHED |
| Object | true circulatory system |
—
|
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: true circulatory system | Statement: [Nephrozoa, hasCirculatorySystemInManyMembers, true circulatory system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCirculatorySystemInManyMembers Context triple: [Nephrozoa, hasCirculatorySystemInManyMembers, true circulatory system]
-
A.
hasCirculatorySystem
chosen
Indicates that an entity possesses a circulatory system, i.e., an internal network for transporting blood or equivalent fluids throughout its body.
-
B.
hasNervousSystem
Indicates that an entity possesses a nervous system as a biological feature.
-
C.
hasExcretorySystem
Indicates that an organism possesses a biological system responsible for eliminating metabolic waste products from its body.
-
D.
hasSpecializedOrgan
Indicates that an entity possesses a distinct organ adapted for a particular specialized function or role.
-
E.
hasRespiratorySystem
Indicates that an entity possesses a respiratory system, i.e., anatomical structures enabling breathing and gas exchange.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35673337c8190b923159791ec27e3 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:33 p.m.