Triple
T4336356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cephalopoda |
E97471
|
entity |
| Predicate | hasScientificImportance |
P54903
|
FINISHED |
| Object | model organisms for neurobiology |
—
|
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: model organisms for neurobiology | Statement: [Cephalopoda, hasScientificImportance, model organisms for neurobiology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScientificImportance Context triple: [Cephalopoda, hasScientificImportance, model organisms for neurobiology]
-
A.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
B.
hasEconomicImportanceFor
Indicates that one entity holds economic value, benefit, or significance for another entity.
-
C.
hasScientificStudy
Indicates that there exists a scientific study that investigates, analyzes, or provides evidence about the referenced entity or relationship.
-
D.
fieldOfSignificance
chosen
Indicates that something holds particular importance, relevance, or impact within a specified domain, context, or area of interest.
-
E.
hasIndustrialSignificance
Indicates that something plays an important role or has notable impact within industrial processes, production, or applications.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516af43081908393fd0dad3d9382 |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.