Triple

T11979123
Position Surface form Disambiguated ID Type / Status
Subject Konak Yali Mosque E285110 entity
Predicate locatedNear P294 FINISHED
Object Konak Pier E303508 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: Konak Pier | Statement: [Konak Yali Mosque, locatedNear, Konak Pier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konak Pier
Context triple: [Konak Yali Mosque, locatedNear, Konak Pier]
  • A. Konak Pier chosen
    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.
  • B. 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.
  • C. 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.
  • D. Starnberg pier
    Starnberg pier is a lakeside promenade and docking point on Lake Starnberg in Bavaria, Germany, known for its scenic views and boat connections.
  • 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 (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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5b024c81909e4ccfd7dec7edb3 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:46 p.m.