Triple

T14169701
Position Surface form Disambiguated ID Type / Status
Subject Kırşehir Province E351173 entity
Predicate hasSettlement P1068 FINISHED
Object Kaman
Kaman is a town and district in central Turkey known for its agricultural activities and proximity to important archaeological sites.
 E1082916 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: Kaman | Statement: [Kırşehir Province, hasSettlement, Kaman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kaman
Context triple: [Kırşehir Province, hasSettlement, Kaman]
  • A. Kaman
    Kaman is a historic town in India’s Braj region, known for its religious significance and association with Hindu pilgrimage traditions.
  • B. Hangrai
    Hangrai is a traditional festival celebrated by the Tripuri people, marked by communal rituals, cultural performances, and social gatherings.
  • C. Khuzhir
    Khuzhir is the main village and tourist hub on Olkhon Island in Lake Baikal, Russia, known for its proximity to the sacred Shaman Rock and dramatic Siberian landscapes.
  • D. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • E. Khoshuts
    The Khoshuts are a subgroup of the Oirat Mongols historically known for establishing the Khoshut Khanate in Tibet and maintaining a distinct nomadic culture in 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: Kaman
Triple: [Kırşehir Province, hasSettlement, Kaman]
Generated description
Kaman is a town and district in central Turkey known for its agricultural activities and proximity to important archaeological sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kaman
Target entity description: Kaman is a town and district in central Turkey known for its agricultural activities and proximity to important archaeological sites.
  • A. Kaman
    Kaman is a historic town in India’s Braj region, known for its religious significance and association with Hindu pilgrimage traditions.
  • B. Hangrai
    Hangrai is a traditional festival celebrated by the Tripuri people, marked by communal rituals, cultural performances, and social gatherings.
  • C. Khuzhir
    Khuzhir is the main village and tourist hub on Olkhon Island in Lake Baikal, Russia, known for its proximity to the sacred Shaman Rock and dramatic Siberian landscapes.
  • D. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • E. Khoshuts
    The Khoshuts are a subgroup of the Oirat Mongols historically known for establishing the Khoshut Khanate in Tibet and maintaining a distinct nomadic culture in 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b472288190b4a271daa54aa6cd completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fcf8bb58ac81908e66156a805edda8 completed May 7, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69fcf93b528c81908c0ee11908d25574 completed May 7, 2026, 8:42 p.m.
Created at: April 10, 2026, 1:01 a.m.