Triple
T5879376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marmaray rail tunnel |
E130705
|
entity |
| Predicate | connectsStation |
P845
|
FINISHED |
| Object | Ayrılık Çeşmesi station |
E163538
|
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: Ayrılık Çeşmesi station | Statement: [Marmaray rail tunnel, connectsStation, Ayrılık Çeşmesi station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayrılık Çeşmesi station Context triple: [Marmaray rail tunnel, connectsStation, Ayrılık Çeşmesi station]
-
A.
Fahrettin Altay station
Fahrettin Altay station is a major western terminus and transfer hub on the İzmir Metro system in İzmir, Turkey.
-
B.
Konak station
Konak station is a central underground stop on the İzmir Metro system, serving as one of the main transit hubs in the heart of İzmir, Turkey.
-
C.
Bornova station
Bornova station is a key terminal stop on the İzmir Metro system serving the Bornova district of İzmir, Turkey.
-
D.
Haydarpaşa Railway Station
chosen
Haydarpaşa Railway Station is a historic waterfront terminus in Istanbul renowned for its grand neo-classical architecture and its former role as a major rail gateway between Europe and Asia.
-
E.
Tumba station
Tumba station is a railway station in Tumba, Sweden, serving as a local commuter hub on the Stockholm commuter rail network.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03633f0d88190b0ecf595cb28b783 |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12d9e348190b4baf171ce448d5b |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.