Triple
T24871862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robinson-Huron Treaty area |
E622453
|
entity |
| Predicate | environmentIncludes |
P158130
|
FINISHED |
| Object | boreal forest 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: boreal forest ecosystems | Statement: [Robinson-Huron Treaty area, environmentIncludes, boreal forest ecosystems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentIncludes Context triple: [Robinson-Huron Treaty area, environmentIncludes, boreal forest ecosystems]
-
A.
environmentAnalogOf
Indicates that one environment serves as an analogue or counterpart to another, typically mirroring its conditions, structure, or behavior for comparison or simulation purposes.
-
B.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
C.
environmentalMedium
Indicates the environmental context or medium (such as air, water, or soil) through which a substance, effect, or process occurs or is present.
-
D.
environmentalFactor
Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
-
E.
environmentScale
Indicates the relative size, extent, or magnitude of an environment in which entities or processes exist or operate.
- F. None of above. chosen
Provenance (4 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 5:23 a.m.