Triple

T5572578
Position Surface form Disambiguated ID Type / Status
Subject Avşa Island E146236 entity
Predicate accessibleFrom P1985 FINISHED
Object Tekirdağ E166458 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: Tekirdağ | Statement: [Avşa Island, accessibleFrom, Tekirdağ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tekirdağ
Context triple: [Avşa Island, accessibleFrom, Tekirdağ]
  • A. Kırklareli
    Kırklareli is a city in northwestern Turkey known for its location near the Bulgarian border, agricultural economy, and historical Ottoman-era architecture.
  • B. Tekirdağ Province chosen
    Tekirdağ Province is a region in northwestern Turkey known for its coastal location along the Sea of Marmara, agricultural production, and growing industrial and port activities.
  • C. Edirne
    Edirne is a historic city in northwestern Turkey that served as an early capital of the Ottoman Empire and is renowned for its Ottoman-era architecture, including the Selimiye Mosque.
  • D. Bilecik
    Bilecik is a small city in northwestern Turkey known as the capital of Bilecik Province and for its proximity to the historic town of Söğüt, birthplace of the Ottoman Empire.
  • E. Trabzon
    Trabzon is a historic city in northeastern Turkey that serves as a major Black Sea port and regional cultural and commercial center.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020518f348190879ac67dab307134 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059f3f6648190af2fd9a5e7cc125b completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:37 p.m.