Triple
T23960048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veuve Nature Reserve |
E603899
|
entity |
| Predicate | mainTargetSpecies |
P58405
|
FINISHED |
| Object | Seychelles paradise flycatcher |
—
|
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: Seychelles paradise flycatcher | Statement: [Veuve Nature Reserve, mainTargetSpecies, Seychelles paradise flycatcher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainTargetSpecies Context triple: [Veuve Nature Reserve, mainTargetSpecies, Seychelles paradise flycatcher]
-
A.
typicalTargetSpecies
Indicates the species that is most commonly or characteristically targeted or affected by a given action, process, or agent.
-
B.
mainPreySpecies
Indicates the species that serves as the primary prey or main food source for a given predator.
-
C.
hostSpecies
Indicates the species that serves as the host for another organism, agent, or entity.
-
D.
targetOrganism
chosen
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
-
E.
primaryBreedingSpecies
Indicates that one species serves as the main or predominant breeding partner or host in relation to another species.
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0da04cc8190a8d55512d4c7efdd |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:23 p.m.