Triple

T11287211
Position Surface form Disambiguated ID Type / Status
Subject Sivas Province E267227 entity
Predicate containsSettlement P847 FINISHED
Object Hafik
Hafik is a small town and district in central Turkey known for its rural character and location within Sivas Province in Central Anatolia.
E916480 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: Hafik | Statement: [Sivas Province, containsSettlement, Hafik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hafik
Context triple: [Sivas Province, containsSettlement, Hafik]
  • A. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • B. Hadim
    Hadim is a rural district and town in Turkey known for its mountainous terrain, plateaus, and traditional Anatolian village life.
  • C. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • D. Haji
    Haji is an Islamic honorific title granted to a Muslim who has completed the pilgrimage to Mecca (Hajj).
  • E. Husan
    Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
  • 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: Hafik
Triple: [Sivas Province, containsSettlement, Hafik]
Generated description
Hafik is a small town and district in central Turkey known for its rural character and location within Sivas Province in Central Anatolia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hafik
Target entity description: Hafik is a small town and district in central Turkey known for its rural character and location within Sivas Province in Central Anatolia.
  • A. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • B. Hadim
    Hadim is a rural district and town in Turkey known for its mountainous terrain, plateaus, and traditional Anatolian village life.
  • C. Jaffar
    Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
  • D. Haji
    Haji is an Islamic honorific title granted to a Muslim who has completed the pilgrimage to Mecca (Hajj).
  • E. Husan
    Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
  • 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.