Triple
T402046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biscayne National Park |
E9305
|
entity |
| Predicate | primaryBiome |
P964
|
FINISHED |
| Object | marine |
—
|
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: marine | Statement: [Biscayne National Park, primaryBiome, marine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBiome Context triple: [Biscayne National Park, primaryBiome, marine]
-
A.
biome
Indicates the type of ecological environment or habitat in which an entity naturally exists or is situated.
-
B.
primaryEcosystem
chosen
Indicates the main type of ecosystem in which an entity predominantly exists or operates.
-
C.
ecoregion
Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
-
D.
vegetationType
Indicates the specific kind or category of plant cover or flora that characterizes a given area or environment.
-
E.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec9f77888190bcc2bc68d201ed35 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96ee4ec8190a5c0e3f491d3963d |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.