Triple
T1833198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinson Massif |
E41004
|
entity |
| Predicate | averageSummitTemperatureInSeason |
P8667
|
FINISHED |
| Object | −30 °C |
—
|
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: −30 °C | Statement: [Vinson Massif, averageSummitTemperatureInSeason, −30 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageSummitTemperatureInSeason Context triple: [Vinson Massif, averageSummitTemperatureInSeason, −30 °C]
-
A.
averageSummitTemperature
chosen
Indicates the typical or mean temperature measured at the summit of a location over a defined period.
-
B.
climbingSeason
Indicates the period during which climbing an object, route, or area is typically allowed, feasible, or considered optimal.
-
C.
averageTemperature
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
-
D.
summitElevation
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
E.
typicalTemperature
Indicates the usual or characteristic temperature associated with an entity under normal conditions.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafd88ebc81908208394746351fe6 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.