Triple
T13484896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaibasa |
E318469
|
entity |
| Predicate | averageWinterTemperature_C |
P79123
|
FINISHED |
| Object | around 10–20 |
—
|
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 10–20 | Statement: [Chaibasa, averageWinterTemperature_C, around 10–20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageWinterTemperature_C Context triple: [Chaibasa, averageWinterTemperature_C, around 10–20]
-
A.
averageWinterLowTemperature
Indicates the typical minimum temperature experienced during the winter season for a given location or period.
-
B.
winterAverageTemperature
chosen
Indicates the typical or mean temperature recorded during the winter season for a given entity or location.
-
C.
averageWinterHighTemperatureC
Indicates the typical maximum daily air temperature, measured in degrees Celsius, during the winter season for a given place or period.
-
D.
averageWinterHighF
Indicates the typical or mean high temperature, measured in degrees Fahrenheit, during the winter season for the referenced entity.
-
E.
averageTemperature
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.