Triple

T12805304
Position Surface form Disambiguated ID Type / Status
Subject Konak Ferry Terminal E306129 entity
Predicate locatedIn P40 FINISHED
Object Konak E62382 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 | Statement: [Konak Ferry Terminal, locatedIn, Konak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konak
Context triple: [Konak Ferry Terminal, locatedIn, Konak]
  • A. Konak chosen
    Konak is the central historic district of İzmir, Turkey, known for its waterfront, clock tower, and role as the city’s administrative and cultural hub.
  • B. Konak Municipality
    Konak Municipality is a local government authority in the Konak district of İzmir, Turkey, responsible for providing municipal services and administration for the area.
  • C. Kanık
    Kanık is the surname of the influential Turkish poet Orhan Veli Kanık, a leading figure in modern Turkish literature and the Garip movement.
  • D. Özkonak
    Özkonak is an ancient multi-level underground city in Turkey’s Cappadocia region, known for its rock-carved tunnels, living spaces, and defensive features.
  • E. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7f370c8190b3fc39c1b63394c6 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e25f2c8481908ca9784a8e643a28 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 5:30 p.m.