Triple
T15805560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kütahya |
E383206
|
entity |
| Predicate | hasThermalResource |
P120154
|
FINISHED |
| Object | thermal springs |
—
|
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: thermal springs | Statement: [Kütahya, hasThermalResource, thermal springs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThermalResource Context triple: [Kütahya, hasThermalResource, thermal springs]
-
A.
hasThermalCharacteristic
Indicates that an entity possesses a specific thermal property or behavior, such as conductivity, capacity, or response to temperature.
-
B.
hasThermalActivity
Indicates that an entity exhibits or is associated with heat-related phenomena such as heating, cooling, or temperature change.
-
C.
hasThermalEstablishment
Indicates that one entity is responsible for creating, setting, or defining the thermal conditions or temperature state of another entity.
-
D.
usesThermals
Indicates that one entity relies on rising warm air currents (thermals) as a means to gain lift, move, or maintain altitude.
-
E.
hasCoolingSource
Indicates that one entity provides or serves as a cooling source for another entity.
- F. None of above. chosen
Provenance (4 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52682548190998d8b6a08982877 |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e00e48d49c819081afccb02f9cf18b |
completed | April 15, 2026, 10:16 p.m. |
Created at: April 10, 2026, 4:48 a.m.