Triple
T2051748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salmoniformes |
E45583
|
entity |
| Predicate | skeleton |
P35580
|
FINISHED |
| Object | bony fishes |
—
|
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: bony fishes | Statement: [Salmoniformes, skeleton, bony fishes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skeleton Context triple: [Salmoniformes, skeleton, bony fishes]
-
A.
skeletonFeature
Indicates that one entity is a structural or anatomical skeletal feature or component of another entity.
-
B.
skeletonCompleteness
Indicates the degree to which an entity’s skeleton is present, intact, or fully preserved in relation to its expected complete form.
-
C.
suspension
Indicates the temporary removal or halting of a privilege, activity, or status for an entity, often as a consequence or precaution.
-
D.
limbType
Indicates the specific kind or category of limb associated with an entity (e.g., arm, leg, wing, fin).
-
E.
interpretedBonesOfMotherAs
Indicates that someone examined their mother’s bones and formed a particular interpretation or understanding of them.
- F. None of above. chosen
Provenance (4 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb99078d88190bc30fa4596f0bae8 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb94ec400819097596732aabed854 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:39 p.m.