Triple
T28930192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feira de Santana |
E733758
|
entity |
| Predicate | averageAnnualTemperature_C |
P4814
|
FINISHED |
| Object | about 24 |
—
|
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: about 24 | Statement: [Feira de Santana, averageAnnualTemperature_C, about 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageAnnualTemperature_C Context triple: [Feira de Santana, averageAnnualTemperature_C, about 24]
-
A.
averageAnnualHighTemperature
Indicates the typical yearly mean of the highest daily temperatures recorded for a given location or entity.
-
B.
averageTemperature
chosen
Indicates the typical or mean temperature value associated with an entity over a specified period or context.
-
C.
averageAnnualLowTemperature
Indicates the typical lowest temperature value recorded per year for a given place or period, averaged over multiple years.
-
D.
averageSummerTemperatureC
Indicates the typical or mean air temperature, measured in degrees Celsius, experienced at a location during the summer season.
-
E.
averageWinterHighTemperatureC
Indicates the typical maximum daily air temperature, measured in degrees Celsius, during the winter season for a given place or 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 8:27 a.m.