Triple

T966438
Position Surface form Disambiguated ID Type / Status
Subject Mehmed II E20847 entity
Predicate birthPlace P1 FINISHED
Object Edirne E19465 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: Edirne | Statement: [Mehmed II, birthPlace, Edirne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edirne
Context triple: [Mehmed II, birthPlace, Edirne]
  • A. Edirne chosen
    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.
  • B. Ardahan
    Ardahan is a town in northeastern Turkey that serves as the capital of Ardahan Province near the border with Georgia.
  • C. Kavala
    Kavala is a historic coastal city in northern Greece known for its strategic harbor, Ottoman and Byzantine landmarks, and role as a major gateway to the Aegean.
  • D. Bursa
    Bursa is a major city in northwestern Turkey known historically as the first capital of the Ottoman Empire and today as an important industrial and cultural center.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b43412488190b68e33d2b36a0ba3 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a82bfc81908a30b19d4ecc25f1 completed March 7, 2026, 11:53 a.m.
Created at: March 1, 2026, 7:40 p.m.