Triple
T23421354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topkapı neighborhood |
E560662
|
entity |
| Predicate | hasTransportConnection |
P845
|
FINISHED |
| Object | Topkapı tram stops |
—
|
NE NERFINISHED |
How this triple was built (3 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: Topkapı tram stops | Statement: [Topkapı neighborhood, hasTransportConnection, Topkapı tram stops]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topkapı tram stops Context triple: [Topkapı neighborhood, hasTransportConnection, Topkapı tram stops]
-
A.
Sultanahmet tram station
Sultanahmet tram station is a key Istanbul tram stop serving the historic peninsula, providing easy access to major landmarks such as the Blue Mosque, Hagia Sophia, and Topkapi Palace.
-
B.
Gülhane tram station
Gülhane tram station is a stop on Istanbul’s modern tram line located near the historic peninsula, providing convenient access to major attractions such as Gülhane Park and nearby museums.
-
C.
Üsküdar station
Üsküdar station is a key rail stop on Istanbul’s Asian side, serving as an important node in the city’s commuter and intermodal transport network.
-
D.
Bakırköy station
Bakırköy station is a railway station in Istanbul, Turkey, serving as a stop on the city’s cross-continental commuter rail corridor.
-
E.
Çayyolu Metro Station
Çayyolu Metro Station is a rapid transit stop serving the Çayyolu district on the Ankara Metro system in Turkey.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Topkapı tram stops Target entity description: Topkapı tram stops are public transport stations in Istanbul’s historic Topkapı area, serving as key nodes on the city’s tram network.
-
A.
Sultanahmet tram station
Sultanahmet tram station is a key Istanbul tram stop serving the historic peninsula, providing easy access to major landmarks such as the Blue Mosque, Hagia Sophia, and Topkapi Palace.
-
B.
Gülhane tram station
Gülhane tram station is a stop on Istanbul’s modern tram line located near the historic peninsula, providing convenient access to major attractions such as Gülhane Park and nearby museums.
-
C.
Üsküdar station
Üsküdar station is a key rail stop on Istanbul’s Asian side, serving as an important node in the city’s commuter and intermodal transport network.
-
D.
Bakırköy station
Bakırköy station is a railway station in Istanbul, Turkey, serving as a stop on the city’s cross-continental commuter rail corridor.
-
E.
Çayyolu Metro Station
Çayyolu Metro Station is a rapid transit stop serving the Çayyolu district on the Ankara Metro system in Turkey.
- F. None of above. chosen
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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a546c08c8190b57d90e88034eef3 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:46 p.m.