Triple
T13251292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Çayyolu |
E315535
|
entity |
| Predicate | hasMetroLine |
P17559
|
FINISHED |
| Object | M2 (Ankara Metro) |
E80644
|
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: M2 (Ankara Metro) | Statement: [Çayyolu, hasMetroLine, M2 (Ankara Metro)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M2 (Ankara Metro) Context triple: [Çayyolu, hasMetroLine, M2 (Ankara Metro)]
-
A.
Ankara Metro
chosen
Ankara Metro is the rapid transit system serving Turkey's capital city, providing urban rail transportation across Ankara and its surrounding districts.
-
B.
Istanbul Metro
The Istanbul Metro is a rapid transit system serving Istanbul, Turkey, connecting key districts and transport hubs across the city.
-
C.
Ankara commuter rail (Başkentray)
Ankara commuter rail (Başkentray) is a suburban rail system serving the Ankara metropolitan area, providing frequent, high-capacity passenger service along key east–west corridors.
-
D.
Izmir Metro
Izmir Metro is a rapid transit rail system serving the city of Izmir, Turkey, providing high-capacity urban transportation across key districts.
-
E.
Istanbul Metrobus
Istanbul Metrobus is a bus rapid transit system in Istanbul that runs on dedicated lanes to provide fast, high-capacity public transportation across the city.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f73423c8190932a9edac56df383 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794202df08190acf1a7710b64198c |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 9, 2026, 9:24 p.m.