Triple

T12739584
Position Surface form Disambiguated ID Type / Status
Subject Karşıyaka E304452 entity
Predicate hasLandmark P105 FINISHED
Object Karşıyaka Pier E306647 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: Karşıyaka Pier | Statement: [Karşıyaka, hasLandmark, Karşıyaka Pier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karşıyaka Pier
Context triple: [Karşıyaka, hasLandmark, Karşıyaka Pier]
  • A. Karşıyaka İskele chosen
    Karşıyaka İskele is a tram stop on the Karşıyaka line of İzmir’s modern Tram İzmir light rail system, serving the coastal Karşıyaka district.
  • B. Konak Pier
    Konak Pier is a historic waterfront shopping and leisure complex in İzmir, Turkey, originally built as a customs house during the Ottoman era and later renovated into a modern commercial center.
  • C. 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.
  • D. Beylerbeyi Pier
    Beylerbeyi Pier is a historic waterfront pier on the Asian side of Istanbul, situated in the Beylerbeyi neighborhood along the Bosphorus.
  • E. Konak Ferry Terminal
    Konak Ferry Terminal is a major passenger ferry hub on the Gulf of İzmir in Turkey, serving as a key point for urban sea transport within the city of İzmir.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646dfc908190bc398935d1d23537 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684eba2508190966d084cc21dc1ea completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:26 p.m.