Triple
T12035494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Służew metro station |
E286526
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | ZTM Warsaw |
E262771
|
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: ZTM Warsaw | Statement: [Służew metro station, fareSystem, ZTM Warsaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZTM Warsaw Context triple: [Służew metro station, fareSystem, ZTM Warsaw]
-
A.
ZTM Warsaw
chosen
ZTM Warsaw is the public transport authority responsible for organizing and managing Warsaw’s integrated network of buses, trams, metro, and suburban rail services.
-
B.
SKM Warsaw
SKM Warsaw is a suburban rapid rail service operating within the Warsaw metropolitan area, providing fast commuter connections that complement the city's broader public transport system.
-
C.
KS Toruń
KS Toruń is a Polish motorcycle speedway club based in Toruń that competes in the country’s top speedway leagues.
-
D.
TVP Polonia
TVP Polonia is an international Polish television channel aimed primarily at the Polish diaspora, broadcasting a selection of programs from Poland’s public broadcaster.
-
E.
Ujazdów
Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90408cbf0819093270c9833ef149a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d7d453c8190a27c5feca8f38991 |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.