Triple
T2837487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İZBAN |
E62384
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | İZBAN A.Ş. |
E62384
|
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: İZBAN A.Ş. | Statement: [İZBAN, operator, İZBAN A.Ş.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: İZBAN A.Ş. Context triple: [İZBAN, operator, İZBAN A.Ş.]
-
A.
İZBAN commuter rail
chosen
İZBAN commuter rail is a major suburban rail system serving the İzmir metropolitan area in Turkey, providing high-capacity, rapid transit along the city’s north–south axis.
-
B.
İETT buses
İETT buses are Istanbul’s municipal public buses, operating an extensive network of urban and inter-district routes across the city.
-
C.
Izmir Metro
Izmir Metro is a rapid transit rail system serving the city of Izmir, Turkey, providing high-capacity urban transportation across key districts.
-
D.
PKP Intercity
PKP Intercity is Poland’s primary long-distance passenger rail operator, running intercity and international train services across the country and beyond.
-
E.
Tramvia Metropolità S.A.
Tramvia Metropolità S.A. is the company responsible for managing and operating parts of the modern tram network serving the Barcelona metropolitan area.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeede0488190a9782f55b57559ee |
completed | March 7, 2026, 8:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8cbaa4081909ff4e9fdf590e352 |
completed | March 10, 2026, 9:47 a.m. |
Created at: March 6, 2026, 10:01 p.m.