Triple
T9709245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Bruno Mountain |
E234978
|
entity |
| Predicate | hasInvasiveSpeciesIssues |
P6138
|
FINISHED |
| Object | gorse |
—
|
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: gorse | Statement: [San Bruno Mountain, hasInvasiveSpeciesIssues, gorse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInvasiveSpeciesIssues Context triple: [San Bruno Mountain, hasInvasiveSpeciesIssues, gorse]
-
A.
hasInvasiveSpecies
chosen
Indicates that an area, ecosystem, or habitat contains one or more species that are non-native and causing or likely to cause ecological, economic, or environmental harm.
-
B.
hasWildlifeIssue
Indicates that an entity is affected by, involved in, or responsible for a problem or conflict related to wildlife.
-
C.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
D.
hasProtectedSpecies
Indicates that the subject contains, supports, or is associated with one or more species that are legally or formally designated as protected.
-
E.
hasNativeSpecies
Indicates that a particular species naturally occurs and evolved in a specified geographic area or habitat, rather than being introduced from elsewhere.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da7c6188190b086f7e411378268 |
completed | April 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:19 p.m.