Triple

T20580734
Position Surface form Disambiguated ID Type / Status
Subject Çayırova E505646 entity
Predicate neighboringDistrict P17964 FINISHED
Object Şekerpınar
Şekerpınar is a locality in Turkey situated near the district of Çayırova in the Kocaeli Province, known for its industrial and residential areas.
E1439220 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: Şekerpınar | Statement: [Çayırova, neighboringDistrict, Şekerpınar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Şekerpınar
Context triple: [Çayırova, neighboringDistrict, Şekerpınar]
  • A. Sarıyahşi
    Sarıyahşi is a small town and district in central Turkey known for its agricultural activities and rural character.
  • B. Gülağaç
    Gülağaç is a small town and administrative district in central Turkey known for its rural character within the Central Anatolia region.
  • C. Siverek
    Siverek is a large district and town in southeastern Turkey known for its predominantly Kurdish population and its location within the historical region of Upper Mesopotamia.
  • D. Yakapınar
    Yakapınar is a modern settlement in southern Turkey located near the site of the ancient city of Mopsuestia.
  • E. Sinanpaşa
    Sinanpaşa is a town and district in western Turkey, located within Afyonkarahisar Province and known for its agricultural economy and rural character.
  • 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: Şekerpınar
Triple: [Çayırova, neighboringDistrict, Şekerpınar]
Generated description
Şekerpınar is a locality in Turkey situated near the district of Çayırova in the Kocaeli Province, known for its industrial and residential areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Şekerpınar
Target entity description: Şekerpınar is a locality in Turkey situated near the district of Çayırova in the Kocaeli Province, known for its industrial and residential areas.
  • A. Sarıyahşi
    Sarıyahşi is a small town and district in central Turkey known for its agricultural activities and rural character.
  • B. Gülağaç
    Gülağaç is a small town and administrative district in central Turkey known for its rural character within the Central Anatolia region.
  • C. Siverek
    Siverek is a large district and town in southeastern Turkey known for its predominantly Kurdish population and its location within the historical region of Upper Mesopotamia.
  • D. Yakapınar
    Yakapınar is a modern settlement in southern Turkey located near the site of the ancient city of Mopsuestia.
  • E. Sinanpaşa
    Sinanpaşa is a town and district in western Turkey, located within Afyonkarahisar Province and known for its agricultural economy and rural character.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90e98a88190b5cb077973f97e68 completed April 20, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08aceaa8dc819094d7ba5e7aa0d24e completed May 16, 2026, 5:44 p.m.
NEDg Description generation batch_6a08b0b7e9908190866a9929f88c2b2b completed May 16, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_6a08b18f6ab08190a726e7cca7b8787f completed May 16, 2026, 6:03 p.m.
Created at: April 16, 2026, 11:39 a.m.