Triple
T38560286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZN stain |
E928060
|
entity |
| Predicate | visualResult |
P25983
|
FINISHED |
| Object | acid-fast bacilli appear red |
—
|
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: acid-fast bacilli appear red | Statement: [ZN stain, visualResult, acid-fast bacilli appear red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualResult Context triple: [ZN stain, visualResult, acid-fast bacilli appear red]
-
A.
visualCompanion
Indicates that one entity serves as a visual counterpart, partner, or accompanying element to another in a visual context.
-
B.
visualField
Indicates the spatial region in which a visual system or observer can detect and perceive visual stimuli.
-
C.
capturesVisionOf
Indicates that one entity records, perceives, or otherwise obtains a visual representation or view of another entity.
-
D.
visualFeature
chosen
Indicates a relationship where one entity possesses or exhibits a particular visual characteristic or attribute of another entity.
-
E.
visualDepictionOnScreen
Indicates that one entity is visually shown or rendered on a screen as a depiction of 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.