Triple
T23005868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scutari |
E572765
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Üsküdar Pier |
—
|
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: Üsküdar Pier | Statement: [Scutari, contains, Üsküdar Pier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Üsküdar Pier Context triple: [Scutari, contains, Üsküdar Pier]
-
A.
Kadıköy Pier
Kadıköy Pier is a historic and busy ferry terminal on Istanbul’s Asian side, serving as a major hub for maritime transport across the Bosphorus.
-
B.
Beylerbeyi Pier
Beylerbeyi Pier is a historic waterfront pier on the Asian side of Istanbul, situated in the Beylerbeyi neighborhood along the Bosphorus.
-
C.
Üsküdar İskelesi
chosen
Üsküdar İskelesi is a major ferry terminal on Istanbul’s Asian side, serving as a key hub for commuter and cross-Bosphorus sea transport.
-
D.
Beşiktaş ferry pier
Beşiktaş ferry pier is a major waterfront transport hub in Istanbul’s Beşiktaş district, serving as a busy departure point for commuter and tourist ferries across the Bosphorus.
-
E.
Karşıyaka İskele
Karşıyaka İskele is a tram stop on the Karşıyaka line of İzmir’s modern Tram İzmir light rail system, serving the coastal Karşıyaka district.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18356417881908c8d6ee56bdc85f5 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.