Triple
T32429730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hajdúszoboszló |
E828685
|
entity |
| Predicate | thermalWaterDiscovered |
P174072
|
FINISHED |
| Object | 1925 |
—
|
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: 1925 | Statement: [Hajdúszoboszló, thermalWaterDiscovered, 1925]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thermalWaterDiscovered Context triple: [Hajdúszoboszló, thermalWaterDiscovered, 1925]
-
A.
thermalWaterType
Indicates the specific classification or type of thermal water associated with an entity.
-
B.
hasHydrothermalActivity
Indicates that a location or geological feature exhibits hydrothermal activity, such as the circulation of heated water or fluids associated with geothermal processes.
-
C.
hasNumberOfHotSprings
Indicates the quantity of hot springs associated with a given entity.
-
D.
hasFreshwaterSprings
Indicates that the subject contains or is associated with natural sources of freshwater emerging from the ground.
-
E.
waterSource
Indicates that one entity serves as the source or provider of water 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2aa0d1c8190a4e207ed16f4b2a8 |
completed | May 3, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bb344bb48190a8089f29c0063ded |
completed | May 3, 2026, 3:04 a.m. |
Created at: May 1, 2026, 12:54 a.m.