Triple
T33292134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ko143 |
E852343
|
entity |
| Predicate | speciesStudiedIn |
P77976
|
FINISHED |
| Object | human-derived cell lines |
—
|
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: human-derived cell lines | Statement: [Ko143, speciesStudiedIn, human-derived cell lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesStudiedIn Context triple: [Ko143, speciesStudiedIn, human-derived cell lines]
-
A.
studiedInSpecies
chosen
Indicates that a particular study, observation, or experiment was conducted using or within the specified species.
-
B.
studiedOrganism
Indicates that an entity conducted study or research on a particular organism.
-
C.
notableCreatureStudied
Indicates that a particular creature has been the subject of significant study or research by the referenced entity.
-
D.
studentSpecies
Indicates that one entity is a student whose biological species is identified by the other entity.
-
E.
hasScientificSpecies
Indicates that an entity is associated with a specific scientific (Latin) species name.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 1, 2026, 1:32 a.m.