Triple
T2504126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mycobacterium tuberculosis |
E52537
|
entity |
| Predicate | capsule |
P40193
|
FINISHED |
| Object | non-encapsulated |
—
|
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: non-encapsulated | Statement: [Mycobacterium tuberculosis, capsule, non-encapsulated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capsule Context triple: [Mycobacterium tuberculosis, capsule, non-encapsulated]
-
A.
caps
Indicates that one entity serves as the capital city or administrative center of another entity, such as a country, state, or region.
-
B.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
-
C.
seal
Indicates that an agent closes or fastens something so that it is securely shut and often airtight or watertight.
-
D.
numberOfCapsules
Indicates the quantity or count of capsules associated with an entity or event.
-
E.
cover
Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cd2db0819087d21ec49ffd9585 |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0bba5348190bb4637d3165cb339 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1aa13a08190a8757c017d8a2478 |
completed | March 7, 2026, 7:20 a.m. |
Created at: March 6, 2026, 9:46 p.m.