Triple

T14500048
Position Surface form Disambiguated ID Type / Status
Subject Bolu Province E359609 entity
Predicate hasDistrict P459 FINISHED
Object Gerede
Gerede is a town and district in Turkey known for its location in the mountainous Bolu region and its cold, snowy climate.
 E1101983 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: Gerede | Statement: [Bolu Province, hasDistrict, Gerede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerede
Context triple: [Bolu Province, hasDistrict, Gerede]
  • A. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • B. Oederan
    Oederan is a small historic town in the Free State of Saxony in eastern Germany, known for its traditional architecture and model railway park.
  • C. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • D. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • E. Tegüder
    Tegüder (also known as Ahmad Tegüder) was a 13th-century Ilkhanid ruler of Persia who converted to Islam and briefly reigned as a Mongol khan.
  • 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: Gerede
Triple: [Bolu Province, hasDistrict, Gerede]
Generated description
Gerede is a town and district in Turkey known for its location in the mountainous Bolu region and its cold, snowy climate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerede
Target entity description: Gerede is a town and district in Turkey known for its location in the mountainous Bolu region and its cold, snowy climate.
  • A. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • B. Oederan
    Oederan is a small historic town in the Free State of Saxony in eastern Germany, known for its traditional architecture and model railway park.
  • C. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • D. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • E. Tegüder
    Tegüder (also known as Ahmad Tegüder) was a 13th-century Ilkhanid ruler of Persia who converted to Islam and briefly reigned as a Mongol khan.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d99a7948190a3ff01e7b74aaa1e completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6eb86d1881908a326d448cf479da completed May 8, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f6c62088190a1ecaf0995e3f112 completed May 8, 2026, 5:06 a.m.
Created at: April 10, 2026, 1:21 a.m.