Triple

T10643507
Position Surface form Disambiguated ID Type / Status
Subject Sally Gap E250780 entity
Predicate near P350 FINISHED
Object Kippure
Kippure is a prominent mountain in the Wicklow Mountains of Ireland, known for its scenic views and as a site for major broadcasting masts.
E877939 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: Kippure | Statement: [Sally Gap, near, Kippure]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kippure
Context triple: [Sally Gap, near, Kippure]
  • A. عرعرة النقب
    عرعرة النقب هي قرية عربية بدوية تقع في منطقة النقب جنوب فلسطين التاريخية وتتبع إداريًا لمنطقة بئر السبع في إسرائيل.
  • B. Mevaseret Zion
    Mevaseret Zion is a suburban town in central Israel located just west of Jerusalem, known primarily as a residential community for commuters to the city.
  • C. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • D. Nahariya
    Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
  • E. Kfarakka
    Kfarakka is a village in northern Lebanon situated within the Koura District, known for its agricultural character and traditional rural life.
  • 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: Kippure
Triple: [Sally Gap, near, Kippure]
Generated description
Kippure is a prominent mountain in the Wicklow Mountains of Ireland, known for its scenic views and as a site for major broadcasting masts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kippure
Target entity description: Kippure is a prominent mountain in the Wicklow Mountains of Ireland, known for its scenic views and as a site for major broadcasting masts.
  • A. عرعرة النقب
    عرعرة النقب هي قرية عربية بدوية تقع في منطقة النقب جنوب فلسطين التاريخية وتتبع إداريًا لمنطقة بئر السبع في إسرائيل.
  • B. Mevaseret Zion
    Mevaseret Zion is a suburban town in central Israel located just west of Jerusalem, known primarily as a residential community for commuters to the city.
  • C. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • D. Nahariya
    Nahariya is a coastal city in northern Israel on the Mediterranean Sea, known as a resort town and gateway to nearby attractions such as Rosh HaNikra.
  • E. Kfarakka
    Kfarakka is a village in northern Lebanon situated within the Koura District, known for its agricultural character and traditional rural life.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfcf65fc81909a0c86daefaab1ab completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a4dd4e48190ba7d0291686702e6 completed April 10, 2026, 10:31 p.m.
NEDg Description generation batch_69d97cc07100819088683a0d79b2baa0 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e0cda0c8190af5013b971b2ad3c completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:05 p.m.