Triple
T17762090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neumayer Station III |
E443401
|
entity |
| Predicate | winterPersonnel |
P128246
|
FINISHED |
| Object | around 9 overwintering 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: around 9 overwintering staff | Statement: [Neumayer Station III, winterPersonnel, around 9 overwintering staff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winterPersonnel Context triple: [Neumayer Station III, winterPersonnel, around 9 overwintering staff]
-
A.
winterStatus
Indicates the condition, phase, or circumstances associated with the winter season for a given entity or context.
-
B.
winterSession
Indicates that an event, course, or activity takes place during a designated winter academic or seasonal session.
-
C.
winterAccessMode
Indicates how access to something is configured, permitted, or restricted specifically during the winter season.
-
D.
winterCharacteristic
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
-
E.
winterForageDependsOn
Indicates that the availability or quality of winter forage is contingent upon, or influenced by, another factor or resource.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f887ac81908c896a50175692b9 |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3cfab7edc8190b663282d565a0389 |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:11 a.m.