Triple
T13433145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M3 line |
E320161
|
entity |
| Predicate | hasFareSystem |
P395
|
FINISHED |
| Object | AnkaraKart |
E315532
|
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: AnkaraKart | Statement: [M3 line, hasFareSystem, AnkaraKart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AnkaraKart Context triple: [M3 line, hasFareSystem, AnkaraKart]
-
A.
Ankarakart
chosen
Ankarakart is a contactless smart card used as the primary public transportation payment system in Ankara, Turkey.
-
B.
Ankara city bus network
The Ankara city bus network is the primary urban bus system serving Turkey’s capital, connecting neighborhoods, landmarks, and suburbs through an extensive network of routes.
-
C.
Ankara Metropolitan Municipality
Ankara Metropolitan Municipality is the primary local government authority responsible for administering and providing public services across Turkey’s capital city, Ankara.
-
D.
Etimesgut
Etimesgut is a rapidly growing suburban district and municipality on the western side of Ankara, Turkey’s capital city.
-
E.
Karacabey
Karacabey is a town and district in northwestern Turkey known for its agriculture and proximity to both the Marmara Sea and the city of Bursa.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398da07081908c3eca6fc4213930 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.