Triple
T9175135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thermoproteus tenax |
E220179
|
entity |
| Predicate | extremophileType |
P37835
|
FINISHED |
| Object | hyperthermophile |
—
|
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: hyperthermophile | Statement: [Thermoproteus tenax, extremophileType, hyperthermophile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extremophileType Context triple: [Thermoproteus tenax, extremophileType, hyperthermophile]
-
A.
organismType
chosen
Indicates the biological classification or kind of organism that an entity is.
-
B.
pathogenType
Indicates the specific kind or category of pathogen associated with or responsible for an entity or condition.
-
C.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
-
D.
symbiontType
Indicates the specific kind or category of symbiotic relationship that exists between associated organisms.
-
E.
biota
Indicates the presence or composition of living organisms (flora, fauna, or other life forms) associated with a given entity or environment.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa2f9708190a955bf28a4f04004 |
completed | April 1, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:23 p.m.