Triple
T20406984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davis Sea |
E500492
|
entity |
| Predicate | primaryHumanActivity |
P77624
|
FINISHED |
| Object | scientific research |
—
|
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: scientific research | Statement: [Davis Sea, primaryHumanActivity, scientific research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryHumanActivity Context triple: [Davis Sea, primaryHumanActivity, scientific research]
-
A.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
B.
primaryActivityPattern
Indicates the main recurring type of activity or behavior that characterizes how an entity typically operates or functions.
-
C.
primaryHumanUse
chosen
Indicates the main way humans typically use, interact with, or benefit from the referenced entity.
-
D.
primaryLevelOfActivity
Indicates the main or most significant level at which an entity engages in a particular activity or operation.
-
E.
occupationalRootActivity
Indicates that an occupation is fundamentally based on or derived from a particular core activity or type of work.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67993dc7081908ebd54ec92e712ea |
completed | April 20, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:29 a.m.