Triple

T12703058
Position Surface form Disambiguated ID Type / Status
Subject Alsancak E303509 entity
Predicate contains P35 FINISHED
Object Kordon promenade E303510 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: Kordon promenade | Statement: [Alsancak, contains, Kordon promenade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kordon promenade
Context triple: [Alsancak, contains, Kordon promenade]
  • A. Kordon waterfront promenade chosen
    Kordon waterfront promenade is a famous seaside walkway and social hub along the Aegean coast in İzmir, Turkey.
  • B. Molos promenade
    Molos promenade is a popular coastal walkway and recreational area in Limassol, Cyprus, known for its landscaped parks, cycling paths, and sea views.
  • C. Riva promenade
    Riva promenade is a popular waterfront walkway in Split, Croatia, known for its palm-lined seafront, cafés, and vibrant social atmosphere.
  • D. Peyrou Promenade
    Peyrou Promenade is a historic elevated park and esplanade in Montpellier, France, known for its panoramic city views, triumphal arch, and 18th-century water tower.
  • E. Mainuferpromenade
    Mainuferpromenade is a riverside promenade along the Main River in Frankfurt, known for its scenic views, museums, and leisure activities.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961f0941081908a879cde0be48667 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b4832c8190abc17f5f33b3552a completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.