Triple

T9815436
Position Surface form Disambiguated ID Type / Status
Subject Sakarya Province E238390 entity
Predicate hasCity P316 FINISHED
Object Erenler
Erenler is a district and municipality within Turkey’s Sakarya Province, known for its residential areas and proximity to the provincial capital.
 E823362 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: Erenler | Statement: [Sakarya Province, hasCity, Erenler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erenler
Context triple: [Sakarya Province, hasCity, Erenler]
  • A. Eren Bali
    Eren Bali is a Turkish-American entrepreneur best known as the co-founder and former CEO of the online learning platform Udemy.
  • B. Ersari
    Ersari are a major Turkmen tribal group historically known for their role in Central Asian nomadic culture and distinctive carpet-weaving traditions.
  • C. Henreid
    Henreid is the surname of Paul Henreid, the Austrian-born actor and director best known for his roles in classic Hollywood films such as "Casablanca" and "Now, Voyager."
  • D. Herentas
    Herentas is a deity or revered figure associated with a sanctuary that bears the same name, likely venerated in a specific local or regional religious tradition.
  • E. Haren
    Haren is a district in the northern part of Brussels, Belgium, known for its mix of residential areas, industrial zones, and transport infrastructure.
  • 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: Erenler
Triple: [Sakarya Province, hasCity, Erenler]
Generated description
Erenler is a district and municipality within Turkey’s Sakarya Province, known for its residential areas and proximity to the provincial capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erenler
Target entity description: Erenler is a district and municipality within Turkey’s Sakarya Province, known for its residential areas and proximity to the provincial capital.
  • A. Eren Bali
    Eren Bali is a Turkish-American entrepreneur best known as the co-founder and former CEO of the online learning platform Udemy.
  • B. Ersari
    Ersari are a major Turkmen tribal group historically known for their role in Central Asian nomadic culture and distinctive carpet-weaving traditions.
  • C. Henreid
    Henreid is the surname of Paul Henreid, the Austrian-born actor and director best known for his roles in classic Hollywood films such as "Casablanca" and "Now, Voyager."
  • D. Herentas
    Herentas is a deity or revered figure associated with a sanctuary that bears the same name, likely venerated in a specific local or regional religious tradition.
  • E. Haren
    Haren is a district in the northern part of Brussels, Belgium, known for its mix of residential areas, industrial zones, and transport infrastructure.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f341648190bf8343e1124085cb completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc6c64dc8190979be34255dc22e5 completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1cf7ce46c8190a7383086eb667b51 completed April 5, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0034dc081908182e3f873a2c584 completed April 5, 2026, 2:59 a.m.
Created at: March 30, 2026, 8:30 p.m.