Triple
T29058951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Fernández petrel |
E735470
|
entity |
| Predicate | hasBreedingRange |
P75656
|
FINISHED |
| Object | Juan Fernández Islands |
—
|
NE NERFINISHED |
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: Juan Fernández Islands | Statement: [Juan Fernández petrel, hasBreedingRange, Juan Fernández Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBreedingRange Context triple: [Juan Fernández petrel, hasBreedingRange, Juan Fernández Islands]
-
A.
nonBreedingRangeIncludes
Indicates that the specified geographic area is part of the region where the species occurs outside its breeding season.
-
B.
geographicRangeType
Indicates the kind of geographic range or distribution pattern that characterizes where an entity occurs or is found.
-
C.
primaryBreedingRegions
chosen
Indicates the main geographic areas where a species typically breeds or reproduces.
-
D.
hasWildPopulationOf
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
E.
hasBreedingFocus
Indicates that an entity is the primary target or subject of another entity’s breeding efforts or breeding program.
- 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 10:13 a.m.