Triple
T28836430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chemult, Oregon |
E728195
|
entity |
| Predicate | hasSummerConditions |
P192962
|
FINISHED |
| Object | warm, dry summers |
—
|
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: warm, dry summers | Statement: [Chemult, Oregon, hasSummerConditions, warm, dry summers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSummerConditions Context triple: [Chemult, Oregon, hasSummerConditions, warm, dry summers]
-
A.
hasSummerTemperatureCode
Indicates that an entity is associated with a specific coded value representing its characteristic temperature conditions during the summer season.
-
B.
hasWarmSummers
chosen
Indicates that the subject experiences summers characterized by relatively high or warm temperatures.
-
C.
hasHotSeason
Indicates that an entity experiences a distinct period of time characterized by hot or high-temperature weather conditions.
-
D.
isSummerHit
Indicates that something (typically a song, movie, or product) achieved notable popularity or success specifically during the summer season.
-
E.
isSummerOrWinter
Indicates that a given time, date, or season falls within either the summer or winter period, as opposed to other seasons.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: April 28, 2026, 6:39 a.m.