Triple
T4637897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelicerata |
E101578
|
entity |
| Predicate | hasRespiratoryStructure |
P18577
|
FINISHED |
| Object | book lungs |
—
|
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: book lungs | Statement: [Chelicerata, hasRespiratoryStructure, book lungs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRespiratoryStructure Context triple: [Chelicerata, hasRespiratoryStructure, book lungs]
-
A.
hasRespiratorySystem
chosen
Indicates that an entity possesses a respiratory system, i.e., anatomical structures enabling breathing and gas exchange.
-
B.
hasSpecializedOrgan
Indicates that an entity possesses a distinct organ adapted for a particular specialized function or role.
-
C.
hasExcretorySystem
Indicates that an organism possesses a biological system responsible for eliminating metabolic waste products from its body.
-
D.
hasCirculatorySystem
Indicates that an entity possesses a circulatory system, i.e., an internal network for transporting blood or equivalent fluids throughout its body.
-
E.
hasSensoryOrgans
Indicates that an entity possesses organs specialized for sensing or perceiving stimuli from its environment.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a64214481908a207e8070cc7a45 |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:13 p.m.