Triple
T12818725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamporovo |
E306470
|
entity |
| Predicate | hasAverageSunnyDaysInWinter |
P17369
|
FINISHED |
| Object | over 100 days |
—
|
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 100 days | Statement: [Pamporovo, hasAverageSunnyDaysInWinter, over 100 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAverageSunnyDaysInWinter Context triple: [Pamporovo, hasAverageSunnyDaysInWinter, over 100 days]
-
A.
hasLongWinterSeason
Indicates that the referenced entity experiences a winter season that lasts for an extended or unusually long period of time.
-
B.
wintersIn
Indicates that an entity spends the winter season in a particular place or region.
-
C.
averageAnnualSunshineDays
chosen
Indicates the typical number of days per year that a location experiences sunshine, averaged over a specified period.
-
D.
winterAverageTemperature
Indicates the typical or mean temperature recorded during the winter season for a given entity or location.
-
E.
averageWinterLowTemperature
Indicates the typical minimum temperature experienced during the winter season for a given location 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9d00088190ac0f5d60e1de7a7c |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d964100f7481909a197396003d4a71 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:31 p.m.