Triple
T1933650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cladistia |
E41400
|
entity |
| Predicate | finType |
P33587
|
FINISHED |
| Object | lobed pectoral fins |
—
|
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: lobed pectoral fins | Statement: [Cladistia, finType, lobed pectoral fins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finType Context triple: [Cladistia, finType, lobed pectoral fins]
-
A.
loanType
Indicates the specific category or kind of loan associated with an entity or transaction.
-
B.
calculationType
Indicates the specific method, formula, or approach used to perform a calculation in the described relationship.
-
C.
funds
Indicates that one entity provides financial resources or monetary support to another entity or activity.
-
D.
lenderType
Indicates the classification or category of the lender involved in a lending relationship (e.g., bank, individual, institution).
-
E.
billType
Indicates the classification or category assigned to a bill (such as its kind, purpose, or procedural type).
- 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_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. |
| PDg | Predicate description generation | batch_69abb20c4970819086e66a5435744297 |
completed | March 7, 2026, 5:05 a.m. |
Created at: March 4, 2026, 7:35 p.m.