Triple

T15941351
Position Surface form Disambiguated ID Type / Status
Subject Bekaa Governorate E386570 entity
Predicate hasCity P316 FINISHED
Object Riyaq
Riyaq is a town in Lebanon’s Beqaa Valley known historically for its strategic railway station and nearby air base.
 E1184645 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: Riyaq | Statement: [Bekaa Governorate, hasCity, Riyaq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Riyaq
Context triple: [Bekaa Governorate, hasCity, Riyaq]
  • A. Guzara
    Guzara is a town and district center in western Afghanistan that serves as an important local hub within Herat Province.
  • B. Tawal
    Tawal is a Saudi telecommunications infrastructure company that builds and operates tower and related network assets, spun off as a subsidiary of Saudi Telecom Company (stc).
  • C. Nganzai
    Nganzai is a local government area in Borno State, northeastern Nigeria, known for its rural communities and impact from the Boko Haram insurgency.
  • D. Moru
    Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
  • E. Khaleja
    Khaleja is a 2010 Telugu-language action-comedy film starring Mahesh Babu and Anushka Shetty, known for its blend of humor, fantasy elements, and social commentary.
  • 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: Riyaq
Triple: [Bekaa Governorate, hasCity, Riyaq]
Generated description
Riyaq is a town in Lebanon’s Beqaa Valley known historically for its strategic railway station and nearby air base.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Riyaq
Target entity description: Riyaq is a town in Lebanon’s Beqaa Valley known historically for its strategic railway station and nearby air base.
  • A. Guzara
    Guzara is a town and district center in western Afghanistan that serves as an important local hub within Herat Province.
  • B. Tawal
    Tawal is a Saudi telecommunications infrastructure company that builds and operates tower and related network assets, spun off as a subsidiary of Saudi Telecom Company (stc).
  • C. Nganzai
    Nganzai is a local government area in Borno State, northeastern Nigeria, known for its rural communities and impact from the Boko Haram insurgency.
  • D. Moru
    Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
  • E. Khaleja
    Khaleja is a 2010 Telugu-language action-comedy film starring Mahesh Babu and Anushka Shetty, known for its blend of humor, fantasy elements, and social commentary.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ce0230819089a20114a755a75a completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5bbc07c819098fd768e2e6b5b3e completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb706eb348190baba254656fc0e71 completed May 9, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7812bf08190918c1410565633e2 completed May 9, 2026, 10:38 p.m.
Created at: April 10, 2026, 4:53 a.m.