Triple
T32495705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echinus Geyser |
E830516
|
entity |
| Predicate | hasSurroundingBiota |
P3591
|
FINISHED |
| Object | acid-tolerant microorganisms |
—
|
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: acid-tolerant microorganisms | Statement: [Echinus Geyser, hasSurroundingBiota, acid-tolerant microorganisms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurroundingBiota Context triple: [Echinus Geyser, hasSurroundingBiota, acid-tolerant microorganisms]
-
A.
hasNearbyHabitats
Indicates that one entity has other habitats located close to it in geographic or spatial terms.
-
B.
biota
chosen
Indicates the presence or composition of living organisms (flora, fauna, or other life forms) associated with a given entity or environment.
-
C.
hasBiosphere
Indicates that an entity possesses or supports a biosphere, i.e., a region where living organisms and ecological processes exist.
-
D.
hasMarineSpecies
Indicates that an entity contains, supports, or is associated with one or more marine species.
-
E.
hasBiodiversityFeature
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: May 1, 2026, 12:59 a.m.