Triple
T4752735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ružinov |
E105514
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Petržalka |
E445878
|
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: Petržalka | Statement: [Ružinov, borders, Petržalka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petržalka Context triple: [Ružinov, borders, Petržalka]
-
A.
Petržalka
chosen
Petržalka is a densely populated borough of Bratislava, Slovakia, known for its extensive panel housing estates and location on the right bank of the Danube River.
-
B.
Piešťany
Piešťany is a Slovak spa town renowned for its thermal springs and health resorts, located on the Váh River.
-
C.
Komárno
Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
-
D.
Liptovský Hrádok
Liptovský Hrádok is a small Slovak town in the Liptov region, known for its historic castle complex and location near the Tatra Mountains.
-
E.
Dunajská Streda
Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
- 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64e5fba88190b1f28d1b0eed3f8e |
completed | March 20, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4623ae881908f5dac4eaa56f91d |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:20 p.m.