Triple
T18777204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RRS Sir David Attenborough |
E459160
|
entity |
| Predicate | scientistCapacity |
P113084
|
FINISHED |
| Object | about 60 scientists and support staff |
—
|
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: about 60 scientists and support staff | Statement: [RRS Sir David Attenborough, scientistCapacity, about 60 scientists and support staff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scientistCapacity Context triple: [RRS Sir David Attenborough, scientistCapacity, about 60 scientists and support staff]
-
A.
hasScientificStaff
Indicates that an entity employs or is associated with one or more individuals serving in scientific or research-related roles.
-
B.
numberOfScientists
chosen
Indicates the quantity of scientists associated with a given entity or context.
-
C.
chiefScientist
Indicates that one entity serves as the primary or lead scientist for another entity, typically holding top scientific authority or responsibility.
-
D.
producedScientist
Indicates that an entity (such as an institution, organization, or place) has produced, trained, or given rise to a particular scientist.
-
E.
involvedScientist
Indicates that a scientist participated in, contributed to, or was otherwise actively involved with a specified project, study, or activity.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933c640081909bb6fbaa1a21d411 |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.