Triple
T9203945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khatanga River |
E220921
|
entity |
| Predicate | freezesInMonth |
P86967
|
FINISHED |
| Object | October |
—
|
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: October | Statement: [Khatanga River, freezesInMonth, October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: freezesInMonth Context triple: [Khatanga River, freezesInMonth, October]
-
A.
freezesOver
Indicates that a liquid surface becomes solid due to low temperatures, typically forming a layer of ice over it.
-
B.
winterFrequency
Indicates how often the related event, condition, or phenomenon occurs during the winter season.
-
C.
requiresFrostFreeSeason
Indicates that the subject depends on a period without frost to grow, develop, or function properly.
-
D.
winterAverageTemperature
Indicates the typical or mean temperature recorded during the winter season for a given entity or location.
-
E.
averageColdestMonth
Indicates the month in which an entity experiences the lowest average temperature over a given period.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd944e6208190adfcc7f75197387d |
completed | April 1, 2026, 8:37 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6745c17881908df72443e0800068 |
completed | April 1, 2026, 12:31 a.m. |
Created at: March 30, 2026, 7:26 p.m.