Triple
T2846263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konak Tram |
E62990
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Tram İzmir |
E62990
|
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: Tram İzmir | Statement: [Konak Tram, partOf, Tram İzmir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tram İzmir Context triple: [Konak Tram, partOf, Tram İzmir]
-
A.
Tram Izmir
chosen
Tram Izmir is a modern light rail tram network serving the Turkish city of İzmir as part of its urban public transportation system.
-
B.
Izmir Metro
Izmir Metro is a rapid transit rail system serving the city of Izmir, Turkey, providing high-capacity urban transportation across key districts.
-
C.
Tram 18
Tram 18 is a tram line in Geneva’s public transport system that connects key districts within the city and its surrounding areas.
-
D.
İzmir ESHOT bus network
The İzmir ESHOT bus network is the primary public bus system serving the city of İzmir, Turkey, providing extensive urban and suburban routes that integrate with other modes of public transport.
-
E.
Tram 15
Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf3d00708190966a477fdd855f23 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08644192481909cb5ec394148adf4 |
completed | March 10, 2026, 8:59 p.m. |
Created at: March 6, 2026, 10:02 p.m.