Triple

T14612985
Position Surface form Disambiguated ID Type / Status
Subject Akkar Governorate E343005 entity
Predicate hasCity P316 FINISHED
Object Hayssa
Hayssa is a town located within the Akkar Governorate in northern Lebanon.
E1111265 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: Hayssa | Statement: [Akkar Governorate, hasCity, Hayssa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayssa
Context triple: [Akkar Governorate, hasCity, Hayssa]
  • A. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • B. Hessa
    Hessa is an island in Norway that forms part of the coastal city of Ålesund, known for its scenic landscapes and maritime surroundings.
  • C. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • D. Harahan
    Harahan is a small suburban city in the Greater New Orleans area of Louisiana, known for its residential character and proximity to the Mississippi River.
  • E. Gallifa
    Gallifa is a small rural municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its scenic mountainous landscape and historic castle.
  • 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: Hayssa
Triple: [Akkar Governorate, hasCity, Hayssa]
Generated description
Hayssa is a town located within the Akkar Governorate in northern Lebanon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hayssa
Target entity description: Hayssa is a town located within the Akkar Governorate in northern Lebanon.
  • A. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • B. Hessa
    Hessa is an island in Norway that forms part of the coastal city of Ålesund, known for its scenic landscapes and maritime surroundings.
  • C. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • D. Harahan
    Harahan is a small suburban city in the Greater New Orleans area of Louisiana, known for its residential character and proximity to the Mississippi River.
  • E. Gallifa
    Gallifa is a small rural municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its scenic mountainous landscape and historic castle.
  • 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_69fda92110e88190af47b713dd24520b completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb35a57f08190a2d3fe426185bc31 completed May 8, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69fdb400e08081908d0a782908ba5459 completed May 8, 2026, 9:59 a.m.
Created at: April 10, 2026, 1:25 a.m.