Triple

T12128779
Position Surface form Disambiguated ID Type / Status
Subject Mersin Province E288878 entity
Predicate hasCapital P204 FINISHED
Object Mersin E288878 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: Mersin | Statement: [Mersin Province, hasCapital, Mersin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mersin
Context triple: [Mersin Province, hasCapital, Mersin]
  • A. Mecidiye
    Mecidiye is the former Ottoman-era name of the Romanian city now known as Medgidia, located in the Dobruja region.
  • B. Antakya
    Antakya is a city in southern Turkey, historically known as Antioch, renowned as an important center of Hellenistic, Roman, and early Christian civilization.
  • C. Mersin Province chosen
    Mersin Province is a coastal region in southern Turkey on the Mediterranean Sea, known for its major port city of Mersin and its rich historical and agricultural significance.
  • D. Samsun
    Samsun is a major Turkish port city on the Black Sea coast, known as an important regional hub for maritime trade and industry.
  • E. Burdur
    Burdur is a city in southwestern Turkey known for its nearby lakes, archaeological sites, and traditional Ottoman-era architecture.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158a2c2c8190aaff9d0cce177565 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63458b22c8190b2a7d4a9cd25dfe1 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:49 p.m.