Triple
T24804046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Integrative Biology |
E620603
|
entity |
| Predicate | studiesLevelOfOrganization |
P157149
|
FINISHED |
| Object | ecosystems |
—
|
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: ecosystems | Statement: [Department of Integrative Biology, studiesLevelOfOrganization, ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesLevelOfOrganization Context triple: [Department of Integrative Biology, studiesLevelOfOrganization, ecosystems]
-
A.
studiesLevelOfOrganization
chosen
Indicates that an entity engages in studying or examining a particular level of organization within a system or hierarchy.
-
B.
hasTissueLevelOrganization
Indicates that an entity possesses a structural organization composed of multiple tissues arranged into functional units.
-
C.
cellularOrganization
Indicates how the components within a biological cell are structured, arranged, and functionally organized in relation to one another.
-
D.
cellStructure
Indicates the structural organization, components, and physical arrangement that make up a cell.
-
E.
studiesConcept
Indicates that an entity engages in learning, examining, or researching a particular concept.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 4:49 a.m.