Triple

T11287207
Position Surface form Disambiguated ID Type / Status
Subject Sivas Province E267227 entity
Predicate containsSettlement P847 FINISHED
Object Gemerek
Gemerek is a town and district in central Turkey known for its location within Sivas Province on the Anatolian plateau.
E916477 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: Gemerek | Statement: [Sivas Province, containsSettlement, Gemerek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gemerek
Context triple: [Sivas Province, containsSettlement, Gemerek]
  • A. Geremek
    Geremek is a Polish surname most notably associated with Bronisław Geremek, a prominent historian, Solidarity activist, and post-communist foreign minister of Poland.
  • B. Gemer
    Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
  • C. Gegechkori
    Gegechkori is the former name of the town now known as Martvili in western Georgia.
  • D. Germoe
    Germoe is a small rural village and civil parish in west Cornwall, England, known for its historic church and scenic countryside near the coast.
  • E. Gerzen
    Gerzen is a small municipality in the Lower Bavarian region of southeastern Germany.
  • 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: Gemerek
Triple: [Sivas Province, containsSettlement, Gemerek]
Generated description
Gemerek is a town and district in central Turkey known for its location within Sivas Province on the Anatolian plateau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gemerek
Target entity description: Gemerek is a town and district in central Turkey known for its location within Sivas Province on the Anatolian plateau.
  • A. Geremek
    Geremek is a Polish surname most notably associated with Bronisław Geremek, a prominent historian, Solidarity activist, and post-communist foreign minister of Poland.
  • B. Gemer
    Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
  • C. Gegechkori
    Gegechkori is the former name of the town now known as Martvili in western Georgia.
  • D. Germoe
    Germoe is a small rural village and civil parish in west Cornwall, England, known for its historic church and scenic countryside near the coast.
  • E. Gerzen
    Gerzen is a small municipality in the Lower Bavarian region of southeastern Germany.
  • 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_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_69e4f48e190c8190b46d4286e2acaef1 completed April 19, 2026, 3:28 p.m.
NEDg Description generation batch_69e4ff1e17e88190af1dd4b8bd8e5ca6 completed April 19, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69e500f5cfe481909c8e6dfd530084bc completed April 19, 2026, 4:21 p.m.
Created at: April 8, 2026, 9:32 p.m.