Triple
T22358501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halkalı–Gebze commuter rail line |
E552717
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Kartal station |
—
|
NE NERFINISHED |
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: Kartal station | Statement: [Halkalı–Gebze commuter rail line, hasStation, Kartal station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kartal station Context triple: [Halkalı–Gebze commuter rail line, hasStation, Kartal station]
-
A.
Bakırköy station
Bakırköy station is a railway station in Istanbul, Turkey, serving as a stop on the city’s cross-continental commuter rail corridor.
-
B.
Istanbul (Pendik) station
Istanbul (Pendik) station is a major railway hub on Istanbul’s Asian side that serves as a key terminus for Turkey’s high-speed train services.
-
C.
Bostancı station
chosen
Bostancı station is a railway stop in Istanbul, Turkey, serving passengers on the city’s Marmaray commuter rail system.
-
D.
Maltepe station
Maltepe station is a railway station in Istanbul, Turkey, serving suburban and commuter rail services on the city’s Asian side.
-
E.
Yenikapı station
Yenikapı station is a major intermodal railway and metro hub in Istanbul, Turkey, serving suburban, intercity, and metro lines on the European side of the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d1a87c8190a3e195cfbbb0d64f |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.