Triple
T4719802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakutia |
E104734
|
entity |
| Predicate | highestTemperatureRecorded |
P37523
|
FINISHED |
| Object | over 35 °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: over 35 °C | Statement: [Yakutia, highestTemperatureRecorded, over 35 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestTemperatureRecorded Context triple: [Yakutia, highestTemperatureRecorded, over 35 °C]
-
A.
maximumRecordedTemperature
chosen
Indicates the highest temperature value that has been observed and recorded for a given entity or context.
-
B.
recordHighTemperatureLocation
Indicates the location where the highest recorded temperature occurred.
-
C.
averageWarmestMonth
Indicates the relationship between a place and the month in which its long-term average temperature is highest.
-
D.
highestLatitudeReached
Indicates the maximum latitude that an entity has ever reached during its movement or existence.
-
E.
recordLowTemperature
Indicates that a specified temperature value is the lowest recorded temperature for a given entity, location, or time period.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd680beb508190b3d74e20e1c64405 |
completed | March 20, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69bd621ddcd88190903288566f5e5dab |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.