Triple

T14612991
Position Surface form Disambiguated ID Type / Status
Subject Akkar Governorate E343005 entity
Predicate hasCity P316 FINISHED
Object Kobayat
Kobayat is a prominent town in northern Lebanon known for its Christian heritage, agricultural landscape, and role as a local cultural and economic center in the Akkar region.
 E1213554 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: Kobayat | Statement: [Akkar Governorate, hasCity, Kobayat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kobayat
Context triple: [Akkar Governorate, hasCity, Kobayat]
  • A. Koubia
    Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
  • B. Kuratau
    Kuratau is a small lakeside settlement on the southwestern shore of Lake Taupō in New Zealand’s central North Island, known for its holiday homes, fishing, and outdoor recreation.
  • C. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • D. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • E. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • 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: Kobayat
Triple: [Akkar Governorate, hasCity, Kobayat]
Generated description
Kobayat is a prominent town in northern Lebanon known for its Christian heritage, agricultural landscape, and role as a local cultural and economic center in the Akkar region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kobayat
Target entity description: Kobayat is a prominent town in northern Lebanon known for its Christian heritage, agricultural landscape, and role as a local cultural and economic center in the Akkar region.
  • A. Koubia
    Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
  • B. Kuratau
    Kuratau is a small lakeside settlement on the southwestern shore of Lake Taupō in New Zealand’s central North Island, known for its holiday homes, fishing, and outdoor recreation.
  • C. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • D. Keiyo
    Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
  • E. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb450e6588190a94488d8e71888c8 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a004568c93c81908450887f72de8466 completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a0045c351f481908368f6bcab56851e completed May 10, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a00465f66608190af8f07eba3f28f85 completed May 10, 2026, 8:48 a.m.
Created at: April 10, 2026, 1:25 a.m.