Triple
T38603643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Băile Olănești |
E934283
|
entity |
| Predicate | hasBalnearyInfrastructure |
P68523
|
FINISHED |
| Object | treatment bases |
—
|
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: treatment bases | Statement: [Băile Olănești, hasBalnearyInfrastructure, treatment bases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBalnearyInfrastructure Context triple: [Băile Olănești, hasBalnearyInfrastructure, treatment bases]
-
A.
hasThermalBathsSince
Indicates that an entity has had thermal baths available or in operation continuously since a specified point in time.
-
B.
hasBathhouse
chosen
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
C.
hasTouristInfrastructure
Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
-
D.
typeOfBathingSite
Indicates the specific kind or category of bathing site associated with a given location or facility.
-
E.
hasBoatFacility
Indicates that an entity provides or is equipped with facilities or services specifically for boats.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: May 3, 2026, 4:32 p.m.