Triple

T7141764
Position Surface form Disambiguated ID Type / Status
Subject Tekirdağ Province E166458 entity
Predicate hasWineRegion P285 FINISHED
Object Mürefte
Mürefte is a coastal town in northwestern Turkey renowned for its vineyards and wine production.
 E644683 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: Mürefte | Statement: [Tekirdağ Province, hasWineRegion, Mürefte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mürefte
Context triple: [Tekirdağ Province, hasWineRegion, Mürefte]
  • A. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • B. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • C. Buniyaad
    Buniyaad is a landmark Indian television drama series that aired in the late 1980s, depicting the impact of the Partition of India on a Punjabi family.
  • D. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • E. Mezallat
    Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
  • 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: Mürefte
Triple: [Tekirdağ Province, hasWineRegion, Mürefte]
Generated description
Mürefte is a coastal town in northwestern Turkey renowned for its vineyards and wine production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mürefte
Target entity description: Mürefte is a coastal town in northwestern Turkey renowned for its vineyards and wine production.
  • A. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • B. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • C. Buniyaad
    Buniyaad is a landmark Indian television drama series that aired in the late 1980s, depicting the impact of the Partition of India on a Punjabi family.
  • D. La Tzoumaz
    La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
  • E. Mezallat
    Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e778875c8190a5202d3efe5a842d completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a3502ed88190ac378a93891c8d9e completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45e81bc8190bf4c47e3bb5fe077 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a4f074708190a5ce0a863ffd4f25 completed March 28, 2026, 9:52 a.m.
Created at: March 27, 2026, 2:45 p.m.