Triple
T19367696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galápagos fur seal |
E484444
|
entity |
| Predicate | nursingBehavior |
P135664
|
FINISHED |
| Object | extended maternal care |
—
|
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: extended maternal care | Statement: [Galápagos fur seal, nursingBehavior, extended maternal care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nursingBehavior Context triple: [Galápagos fur seal, nursingBehavior, extended maternal care]
-
A.
shelterBehavior
Indicates how an entity behaves in relation to seeking, using, or providing shelter in a given context.
-
B.
behaviorNear
Indicates that one entity exhibits a behavior or action in close spatial proximity to another entity.
-
C.
socialBehaviorOfSpecies
Indicates the characteristic ways in which members of a species interact with one another within their social structure or group dynamics.
-
D.
notableFeedingBehavior
Indicates a characteristic way or pattern in which an entity typically obtains or consumes food that is considered distinctive or noteworthy.
-
E.
nestBuildingBehavior
Indicates the behavior or actions involved in constructing, arranging, or maintaining a nest.
- F. None of above. chosen
Provenance (4 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619adac8881909136c50351f3683d |
completed | April 20, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.