Triple
T25982188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phocarctos |
E646098
|
entity |
| Predicate | threatStatusContext |
P109184
|
FINISHED |
| Object | associated with threatened sea lion species |
—
|
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: associated with threatened sea lion species | Statement: [Phocarctos, threatStatusContext, associated with threatened sea lion species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threatStatusContext Context triple: [Phocarctos, threatStatusContext, associated with threatened sea lion species]
-
A.
threatStatus
Indicates the level or category of risk or danger posed by one entity to another or to a defined system or environment.
-
B.
threatContext
chosen
Indicates the situational conditions, factors, or environment in which a threat occurs or is relevant.
-
C.
threatStatusSystem
Indicates the classification framework or system used to assign a conservation or threat status to an entity.
-
D.
threatContained
Indicates that an identified threat has been successfully neutralized, controlled, or otherwise prevented from causing further harm or escalation.
-
E.
threatType
Indicates the specific category or nature of a threat that one entity poses or represents in relation to another.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605102a1881909e83c4240c4ccdc6 |
completed | May 2, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 8:54 a.m.