Triple

T11287216
Position Surface form Disambiguated ID Type / Status
Subject Sivas Province E267227 entity
Predicate containsSettlement P847 FINISHED
Object Ulaş
Ulaş is a small town and district in central Turkey’s Sivas Province, known for its rural character and Anatolian steppe landscape.
 E916485 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: Ulaş | Statement: [Sivas Province, containsSettlement, Ulaş]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ulaş
Context triple: [Sivas Province, containsSettlement, Ulaş]
  • A. Uysal
    Uysal is a Turkish surname borne by various notable individuals in fields such as politics, sports, and academia.
  • B. Eyüp
    Eyüp is a historic district on Istanbul’s Golden Horn, known for its important Ottoman-era mosque complex and traditional neighborhoods.
  • C. Burak
    Burak is a masculine given name of Turkish origin, commonly used in Turkey and among Turkish-speaking communities.
  • D. Uğur
    Uğur is a Turkish masculine given name commonly used across Turkey and among Turkish-speaking communities.
  • E. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • 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: Ulaş
Triple: [Sivas Province, containsSettlement, Ulaş]
Generated description
Ulaş is a small town and district in central Turkey’s Sivas Province, known for its rural character and Anatolian steppe landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ulaş
Target entity description: Ulaş is a small town and district in central Turkey’s Sivas Province, known for its rural character and Anatolian steppe landscape.
  • A. Uysal
    Uysal is a Turkish surname borne by various notable individuals in fields such as politics, sports, and academia.
  • B. Eyüp
    Eyüp is a historic district on Istanbul’s Golden Horn, known for its important Ottoman-era mosque complex and traditional neighborhoods.
  • C. Burak
    Burak is a masculine given name of Turkish origin, commonly used in Turkey and among Turkish-speaking communities.
  • D. Uğur
    Uğur is a Turkish masculine given name commonly used across Turkey and among Turkish-speaking communities.
  • E. Seyhun
    Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
  • 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.