Triple
T16255870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlovy Vary |
E394624
|
entity |
| Predicate | hasNumberOfHotSpringsApprox |
P52851
|
FINISHED |
| Object | 13 main 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: 13 main springs | Statement: [Karlovy Vary, hasNumberOfHotSpringsApprox, 13 main springs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfHotSpringsApprox Context triple: [Karlovy Vary, hasNumberOfHotSpringsApprox, 13 main springs]
-
A.
hasNumberOfHotSprings
chosen
Indicates the quantity of hot springs associated with a given entity.
-
B.
hasHotSpring
Indicates that one entity possesses, contains, or is associated with a hot spring.
-
C.
hasThermalBathsSince
Indicates that an entity has had thermal baths available or in operation continuously since a specified point in time.
-
D.
numberOfGeysers
Indicates the quantity of geysers associated with or contained in a given entity.
-
E.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2459a48f081909c76b38741b8f04e |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.