Triple
T14683070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTU Maintenance |
E344835
|
entity |
| Predicate | hasFacilityIn |
P12416
|
FINISHED |
| Object | Rzeszów, Poland |
E220683
|
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: Rzeszów, Poland | Statement: [MTU Maintenance, hasFacilityIn, Rzeszów, Poland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rzeszów, Poland Context triple: [MTU Maintenance, hasFacilityIn, Rzeszów, Poland]
-
A.
Rzeszów
chosen
Rzeszów is a major city in southeastern Poland known as an important economic, academic, and cultural center of the region.
-
B.
Złoczów, Poland
Złoczów, Poland is a town in present-day Ukraine (historically part of Poland) known as the birthplace of Nobel Prize–winning chemist Roald Hoffmann.
-
C.
Kozienice, Poland
Kozienice is a historic town in east-central Poland known for its location along the Vistula River and proximity to the Kozienice Landscape Park.
-
D.
Żarnowiec, Poland
Żarnowiec, Poland is a small village in northern Poland known for its historic monastery and scenic rural surroundings.
-
E.
Ustronie, Poland
Ustronie is a locality in Poland known historically as the place where the renowned Polish violinist and composer Karol Lipiński died.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb56a51ec8190941684fd562a7182 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde18592088190892ae1cc371165be |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.