Triple
T37450321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coxiella |
E930654
|
entity |
| Predicate | largeCellForm |
P188325
|
FINISHED |
| Object | large cell variant |
—
|
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: large cell variant | Statement: [Coxiella, largeCellForm, large cell variant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largeCellForm Context triple: [Coxiella, largeCellForm, large cell variant]
-
A.
offersMoreSpaceThan
Indicates that one entity provides a greater amount of space or capacity than another entity.
-
B.
largerNear
Indicates that one entity is both larger in size than another entity and located in close spatial proximity to it.
-
C.
largeStarRepresents
Indicates that a large star symbol is used to stand for or denote a particular entity, concept, or value.
-
D.
largerScaleAlternative
Indicates that one option represents a broader, more extensive, or higher-level version of another option, serving as its larger-scale alternative.
-
E.
hasLargeArea
Indicates that an entity occupies or covers a spatial region whose size exceeds a specified large-area threshold.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba67f78348190ab160988e4698394 |
completed | May 6, 2026, 8:37 p.m. |
Created at: May 3, 2026, 4:17 p.m.