Triple

T11287240
Position Surface form Disambiguated ID Type / Status
Subject Sivas Province E267227 entity
Predicate bordersProvince P224 FINISHED
Object Ordu Province E778530 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: Ordu Province | Statement: [Sivas Province, bordersProvince, Ordu Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ordu Province
Context triple: [Sivas Province, bordersProvince, Ordu Province]
  • A. Ordu Province chosen
    Ordu Province is a coastal region in northern Turkey along the Black Sea, known for its hazelnut production and mountainous landscapes.
  • B. Bilecik Province
    Bilecik Province is a small, historically significant province in northwestern Turkey known as the birthplace of the Ottoman Empire.
  • C. Aksaray Province
    Aksaray Province is a central Anatolian province of Turkey known for its historical sites, steppe landscapes, and proximity to the Cappadocia region.
  • D. Tokat Province
    Tokat Province is a region in north-central Turkey known for its rich history dating back to ancient Pontus, its agricultural production, and its well-preserved Ottoman-era architecture.
  • E. Osmaniye Province
    Osmaniye Province is a region in southern Turkey known for its agricultural economy, historical sites, and location near the Mediterranean coast.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e986b0f08190a414749eaa7f1a5d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8bcbb34819088c21d79357eef8a completed May 3, 2026, 9:06 p.m.
Created at: April 8, 2026, 9:32 p.m.