Triple
T38559626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mycobacterium leprae |
E928041
|
entity |
| Predicate | stain |
P99727
|
FINISHED |
| Object | Ziehl–Neelsen positive |
—
|
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: Ziehl–Neelsen positive | Statement: [Mycobacterium leprae, stain, Ziehl–Neelsen positive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stain Context triple: [Mycobacterium leprae, stain, Ziehl–Neelsen positive]
-
A.
stainMethod
Indicates the technique or procedure used to apply a stain to a material or specimen.
-
B.
stainLocation
Indicates the specific place or area where a stain is present or occurs.
-
C.
stainingProperty
chosen
Indicates a relationship where one entity has a particular staining behavior or characteristic when subjected to a specific stain or staining method.
-
D.
glaze
Indicates that an agent coats or covers a surface of an entity with a smooth, often shiny or protective, layer or substance.
-
E.
stricken
Indicates that an entity has been severely affected, harmed, or afflicted by something (such as illness, disaster, or misfortune).
- 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_69fcd34596288190b8e34a7a20b4c0db |
completed | May 7, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.