Triple
T30921112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Tinto |
E787724
|
entity |
| Predicate | hasMicroorganisms |
P98601
|
FINISHED |
| Object | acidophilic bacteria |
—
|
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: acidophilic bacteria | Statement: [Río Tinto, hasMicroorganisms, acidophilic bacteria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMicroorganisms Context triple: [Río Tinto, hasMicroorganisms, acidophilic bacteria]
-
A.
isMicroorganism
Indicates that an entity is a microscopic living organism, such as a bacterium, virus, fungus, or protozoan.
-
B.
hasRindMicroflora
Indicates that an entity possesses or is associated with microbial communities located on its rind or outer surface.
-
C.
hasOrganism
chosen
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
-
D.
containsContaminant
Indicates that one entity includes, holds, or is tainted by an unwanted or harmful contaminating substance or element.
-
E.
hasBio
Indicates that an entity possesses an associated biographical description or profile.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 29, 2026, 8:51 p.m.