Triple
T4300796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mediterranean Region of Turkey |
E99830
|
entity |
| Predicate | hasHotDry |
P43888
|
FINISHED |
| Object | 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: summers | Statement: [Mediterranean Region of Turkey, hasHotDry, summers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHotDry Context triple: [Mediterranean Region of Turkey, hasHotDry, summers]
-
A.
hasHotSeason
chosen
Indicates that an entity experiences a distinct period of time characterized by hot or high-temperature weather conditions.
-
B.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
C.
hasWarmPhase
Indicates that an entity undergoes or includes a period characterized by relatively higher temperatures or warmer conditions.
-
D.
hasHotSpring
Indicates that one entity possesses, contains, or is associated with a hot spring.
-
E.
servedHot
Indicates that something is provided or presented in a heated or warm state, suitable for immediate consumption.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509fb2b88190a13ab88a5b924052 |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.