Triple
T20904961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xenospiza |
E514769
|
entity |
| Predicate | conservationStatusOfBestKnownSpecies |
P1339
|
FINISHED |
| Object | endangered |
—
|
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: endangered | Statement: [Xenospiza, conservationStatusOfBestKnownSpecies, endangered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conservationStatusOfBestKnownSpecies Context triple: [Xenospiza, conservationStatusOfBestKnownSpecies, endangered]
-
A.
conservationStatus
chosen
Indicates the level of risk or protection category assigned to an entity, typically reflecting how threatened it is with extinction or decline.
-
B.
wildlifeProtectionStatus
Indicates the level or type of legal or conservation protection currently applied to wildlife.
-
C.
stateOfConservation
Indicates the condition or preservation status of an entity, typically in terms of how intact, degraded, or at risk it is.
-
D.
speciesStatus
Indicates the conservation or population status assigned to a species, such as whether it is endangered, threatened, or of least concern.
-
E.
typeOfConservation
Indicates the specific kind or category of conservation practice, method, or approach that applies to an entity or situation.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8ff36488190987ecdfcbed4220c |
completed | April 21, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:47 p.m.