Triple
T1933615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osteichthyes |
E41399
|
entity |
| Predicate | hasHeartChambers |
P1545
|
FINISHED |
| Object | two-chambered heart in most species |
—
|
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: two-chambered heart in most species | Statement: [Osteichthyes, hasHeartChambers, two-chambered heart in most species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeartChambers Context triple: [Osteichthyes, hasHeartChambers, two-chambered heart in most species]
-
A.
hasCirculatorySystem
Indicates that an entity possesses a circulatory system, i.e., an internal network for transporting blood or equivalent fluids throughout its body.
-
B.
hasChambersFor
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
C.
hasBodyCavity
Indicates that an organism possesses an internal body cavity or space within its body structure.
-
D.
numberOfChambers
chosen
Indicates the count of distinct chambers or compartments associated with an entity.
-
E.
heartPresence
Indicates the existence or presence of a heart in or associated with the referenced 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb299f3c48190a5021d320ded4405 |
completed | March 7, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69abafeec6f881909d47acb966683279 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.