Triple
T3653684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asymmetron |
E77478
|
entity |
| Predicate | importanceInResearch |
P37238
|
FINISHED |
| Object | model for vertebrate evolution |
—
|
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 for vertebrate evolution | Statement: [Asymmetron, importanceInResearch, model for vertebrate evolution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceInResearch Context triple: [Asymmetron, importanceInResearch, model for vertebrate evolution]
-
A.
researchStrength
Indicates the degree to which an entity possesses strong capabilities, performance, or impact in conducting research.
-
B.
researchPriority
chosen
Indicates that one entity is designated as a subject or area of research that should receive prioritized attention or resources relative to others.
-
C.
usedResearchFrom
Indicates that one entity based its work, findings, or outputs on research conducted or provided by another entity.
-
D.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
-
E.
supportsResearchIn
Indicates that one entity provides resources, assistance, or infrastructure that enables or advances research activities in a particular field or area for another 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b9164c81908938a4338430d193 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.