Triple
T23215821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wołosate |
E580734
|
entity |
| Predicate | accessRoadFrom |
P22549
|
FINISHED |
| Object | Ustrzyki Górne |
—
|
NE NERFINISHED |
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: Ustrzyki Górne | Statement: [Wołosate, accessRoadFrom, Ustrzyki Górne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ustrzyki Górne Context triple: [Wołosate, accessRoadFrom, Ustrzyki Górne]
-
A.
Ustrzyki Górne
chosen
Ustrzyki Górne is a small mountain village in southeastern Poland that serves as a key tourist base and hiking gateway to the Bieszczady Mountains.
-
B.
Strzyżów
Strzyżów is a small town in southeastern Poland, located in the Subcarpathian region and known for its picturesque setting among the Carpathian foothills.
-
C.
Ursynów
Ursynów is a large residential district in southern Warsaw known for its extensive housing estates, green areas, and convenient access to the city center via the Warsaw Metro.
-
D.
Szydłowiec
Szydłowiec is a historic town in central Poland known for its well-preserved Renaissance architecture and traditional sandstone quarrying.
-
E.
Skrzyczne
Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191646c548190a3f7150f0c253dc1 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.