Triple
T17059754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graduation Tower No. 1 |
E413923
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Ciechocinek spa |
E88493
|
NE 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: Ciechocinek spa | Statement: [Graduation Tower No. 1, associatedWith, Ciechocinek spa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciechocinek spa Context triple: [Graduation Tower No. 1, associatedWith, Ciechocinek spa]
-
A.
Nałęczów Spa Park
Nałęczów Spa Park is a historic health resort park in Nałęczów, Poland, known for its therapeutic mineral springs, spa facilities, and landscaped green areas.
-
B.
Ciechocinek
chosen
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Solec-Zdrój
Solec-Zdrój is a spa village in southern Poland known for its therapeutic mineral waters and health resort facilities.
-
D.
Krynica-Zdrój
Krynica-Zdrój is a well-known Polish spa and resort town in the Beskid Sądecki mountains, famed for its mineral springs and health tourism.
-
E.
Sukiennice
Sukiennice is a historic Renaissance cloth hall and landmark market building located in the main square of Kraków, Poland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7c21a881909bfb67080706612f |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012349b2c88190a5c5e06a5cae1ac5 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.