Triple

T7638074
Position Surface form Disambiguated ID Type / Status
Subject Hasköy E172930 entity
Predicate transport P230 FINISHED
Object Hasköy pier E172930 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: Hasköy pier | Statement: [Hasköy, transport, Hasköy pier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasköy pier
Context triple: [Hasköy, transport, Hasköy pier]
  • A. Hasköy chosen
    Hasköy is a historic neighborhood on the European side of Istanbul, known for its multicultural past and its location along the Golden Horn.
  • 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. Seskarö
    Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
  • D. Torsken
    Torsken is a small coastal village and former fishing-based municipality located on the island of Senja in northern Norway.
  • E. Haliç
    Haliç is the Turkish name for the Golden Horn, the historic estuary that forms a natural harbor and inlet of the Bosphorus in Istanbul.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facb14188190952de18fa2699784 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870c7b2bc8190948bc2904b278062 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:57 p.m.