Triple
T38559637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mycobacterium leprae |
E928041
|
entity |
| Predicate | cellEnvelopeComponent |
P14748
|
FINISHED |
| Object | phenolic glycolipid-1 |
—
|
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: phenolic glycolipid-1 | Statement: [Mycobacterium leprae, cellEnvelopeComponent, phenolic glycolipid-1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellEnvelopeComponent Context triple: [Mycobacterium leprae, cellEnvelopeComponent, phenolic glycolipid-1]
-
A.
cellWallComponent
chosen
Indicates that one entity is a molecular or structural component of the cell wall of the other entity.
-
B.
cellularComponent
Indicates the relationship between a biological entity and the specific cellular location or structure in which it is physically present or functions.
-
C.
cellmate
Indicates that two people share the same prison cell as inmates.
-
D.
cellStructure
Indicates the structural organization, components, and physical arrangement that make up a cell.
-
E.
cellBiologyFeature
Indicates a relationship where a biological entity possesses or is characterized by a specific cellular-level property, structure, or function.
- 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.