Triple

T7807465
Position Surface form Disambiguated ID Type / Status
Subject Bayezid II E180590 entity
Predicate placeOfDeath P21 FINISHED
Object Havsa
Havsa is a town in northwestern Turkey’s Edirne Province, historically notable as the place where Ottoman Sultan Bayezid II died.
 E698404 NE FINISHED

How this triple was built (4 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: Havsa | Statement: [Bayezid II, placeOfDeath, Havsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Havsa
Context triple: [Bayezid II, placeOfDeath, Havsa]
  • A. Nazilli
    Nazilli is a town and district in Turkey’s Aydın Province, known for its agricultural production and location in the fertile Büyük Menderes River valley.
  • 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. İskenderun
    İskenderun is a major port city on Turkey’s Mediterranean coast, known for its strategic location in Hatay Province and its role in regional trade and industry.
  • D. Adapazarı
    Adapazarı is a city in northwestern Turkey that serves as the administrative center of Sakarya Province and is known for its agricultural production and regional commerce.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Havsa
Triple: [Bayezid II, placeOfDeath, Havsa]
Generated description
Havsa is a town in northwestern Turkey’s Edirne Province, historically notable as the place where Ottoman Sultan Bayezid II died.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Havsa
Target entity description: Havsa is a town in northwestern Turkey’s Edirne Province, historically notable as the place where Ottoman Sultan Bayezid II died.
  • A. Nazilli
    Nazilli is a town and district in Turkey’s Aydın Province, known for its agricultural production and location in the fertile Büyük Menderes River valley.
  • 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. İskenderun
    İskenderun is a major port city on Turkey’s Mediterranean coast, known for its strategic location in Hatay Province and its role in regional trade and industry.
  • D. Adapazarı
    Adapazarı is a city in northwestern Turkey that serves as the administrative center of Sakarya Province and is known for its agricultural production and regional commerce.
  • 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. chosen

Provenance (5 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf63b3ebc819088dcf4c58b80b18a completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a3bd2e481908e3d3906755b5b7a completed March 31, 2026, 5:23 a.m.
NEDg Description generation batch_69cb5f1afe0c8190916c7a9b2eab9270 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb764973f88190964f91ee7e3fdc06 completed March 31, 2026, 7:22 a.m.
Created at: March 30, 2026, 4:36 p.m.