Triple
T4336409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monoplacophora |
E97472
|
entity |
| Predicate | researchRelevance |
P5064
|
FINISHED |
| Object | important for phylogenetic analyses of Mollusca |
—
|
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: important for phylogenetic analyses of Mollusca | Statement: [Monoplacophora, researchRelevance, important for phylogenetic analyses of Mollusca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchRelevance Context triple: [Monoplacophora, researchRelevance, important for phylogenetic analyses of Mollusca]
-
A.
researchStrength
Indicates the degree to which an entity possesses strong capabilities, performance, or impact in conducting research.
-
B.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
C.
researchContext
chosen
Indicates the situational, methodological, or thematic setting within which a particular piece of research is conducted or interpreted.
-
D.
researchPriority
Indicates that one entity is designated as a subject or area of research that should receive prioritized attention or resources relative to others.
-
E.
researchModel
Indicates that an entity systematically investigates, develops, or analyzes a model as part of a research process.
- 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.