Triple
T29178970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leptospira interrogans |
E739694
|
entity |
| Predicate | environmentalSurvival |
P167355
|
FINISHED |
| Object | can survive in moist environments |
—
|
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: can survive in moist environments | Statement: [Leptospira interrogans, environmentalSurvival, can survive in moist environments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentalSurvival Context triple: [Leptospira interrogans, environmentalSurvival, can survive in moist environments]
-
A.
helpsSurvive
Indicates that one entity provides support or advantage that increases another entity’s chances of survival.
-
B.
survivalTheme
Indicates that the relationship or situation centers on the struggle to stay alive or endure extreme hardship.
-
C.
environmentalResponse
chosen
Indicates how an entity reacts or adapts to changes or conditions in its surrounding environment.
-
D.
survivesExpedition
Indicates that an entity endures and remains alive through the duration of a specified expedition or journey.
-
E.
environmentSpecialization
Indicates that an entity is specifically adapted or tailored to operate within a particular environment or set of environmental conditions.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f67f7efc3c8190986d2d95b7a23729 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 28, 2026, 11:56 a.m.