Triple
T19152357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roslin Institute |
E468839
|
entity |
| Predicate | hasLaboratoryAnimal |
P134627
|
FINISHED |
| Object | sheep |
—
|
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: sheep | Statement: [Roslin Institute, hasLaboratoryAnimal, sheep]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaboratoryAnimal Context triple: [Roslin Institute, hasLaboratoryAnimal, sheep]
-
A.
hasLaboratorySpace
Indicates that an entity provides or contains designated laboratory facilities or areas for scientific or technical work.
-
B.
experimentedOn
Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
-
C.
hasKeyLaboratory
Indicates that an entity possesses or is associated with a designated key laboratory, typically as an important research or development facility under its responsibility.
-
D.
laboratoryModule
Indicates a relationship where an entity is a laboratory module or functions as a lab-specific component or unit within a larger system or structure.
-
E.
hasLaboratorySystem
Indicates that one entity possesses, uses, or is associated with a particular laboratory system.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97dc5a481909a58416126a0862d |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:06 p.m.