Triple
T8031641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Dürrenberg |
E186996
|
entity |
| Predicate | hasSpaDesignation |
P19664
|
FINISHED |
| Object | Bad |
—
|
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: Bad | Statement: [Bad Dürrenberg, hasSpaDesignation, Bad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpaDesignation Context triple: [Bad Dürrenberg, hasSpaDesignation, Bad]
-
A.
hasSpaTown
chosen
Indicates that a place is associated with or contains a town known for its spa or therapeutic bathing facilities.
-
B.
hasSpaResort
Indicates that one entity possesses, includes, or is associated with a spa resort as an amenity or feature.
-
C.
hasDiscoveryDesignation
Indicates that an entity has been assigned a specific designation or label associated with its discovery.
-
D.
hasCityDesignatedAs
Indicates that an entity has a specific city formally assigned or designated to it in a particular role or capacity.
-
E.
hasNatureDesignation
Indicates that something has been formally assigned a specific conservation, protection, or natural-area status or designation.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eef921081908d0ea21f142c175a |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:22 p.m.