Triple
T34850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid-Atlantic Ridge |
E692
|
entity |
| Predicate | biologicalSignificance |
P428
|
FINISHED |
| Object | supports chemosynthetic ecosystems |
—
|
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: supports chemosynthetic ecosystems | Statement: [Mid-Atlantic Ridge, biologicalSignificance, supports chemosynthetic ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: biologicalSignificance Context triple: [Mid-Atlantic Ridge, biologicalSignificance, supports chemosynthetic ecosystems]
-
A.
significance
chosen
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
B.
biome
Indicates the type of ecological environment or habitat in which an entity naturally exists or is situated.
-
C.
scientificName
Indicates the formal taxonomic name assigned to an organism according to scientific naming conventions.
-
D.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
E.
biodiversityStatus
Indicates the current condition or level of biological diversity associated with an entity, often in terms of richness, health, or conservation concern.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490019948190a89bb0910c60d462 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a24872e4e481908567850168d65015 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.