Triple
T1726530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinaroloxias |
E37507
|
entity |
| Predicate | endemicStatus |
P29821
|
FINISHED |
| Object | endemic genus to Galápagos Islands |
—
|
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: endemic genus to Galápagos Islands | Statement: [Pinaroloxias, endemicStatus, endemic genus to Galápagos Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endemicStatus Context triple: [Pinaroloxias, endemicStatus, endemic genus to Galápagos Islands]
-
A.
isEndemicTo
chosen
Indicates that something naturally occurs and is restricted to a particular geographic area or region.
-
B.
hasEndemicSpecies
Indicates that a place or region contains species that are native to and found only within that specific geographic area.
-
C.
hasEndemismLevel
Indicates the degree to which something is restricted or native to a particular geographic area or region.
-
D.
conservationStatus
Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
-
E.
areEndangeredIn
Indicates that the entities are classified as endangered within a specified geographic area or jurisdiction.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aadb7bda1081908f2c41c520c9c55c |
completed | March 6, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69aa61c0a0288190bce9d60062a84b69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.