Triple
T7253181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amundsen–Scott South Pole Station |
E157653
|
entity |
| Predicate | populationWinter |
P63361
|
FINISHED |
| Object | approximately 40–50 people |
—
|
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: approximately 40–50 people | Statement: [Amundsen–Scott South Pole Station, populationWinter, approximately 40–50 people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationWinter Context triple: [Amundsen–Scott South Pole Station, populationWinter, approximately 40–50 people]
-
A.
winterPopulationApprox
chosen
Indicates an approximate count or estimate of a population present during the winter season.
-
B.
wintersIn
Indicates that an entity spends the winter season in a particular place or region.
-
C.
winterFrequency
Indicates how often the related event, condition, or phenomenon occurs during the winter season.
-
D.
seasonalPopulation
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
-
E.
winterCharacteristic
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea9d41908190bb76c6a5b9d5b1a2 |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.