Triple

T10601014
Position Surface form Disambiguated ID Type / Status
Subject Beheira Governorate E275745 entity
Predicate majorCity P316 FINISHED
Object Hosh Issa
Hosh Issa is a town in Egypt’s Beheira Governorate known as one of the governorate’s principal urban centers.
E874047 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: Hosh Issa | Statement: [Beheira Governorate, majorCity, Hosh Issa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hosh Issa
Context triple: [Beheira Governorate, majorCity, Hosh Issa]
  • A. Hisashi
    Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
  • B. Shōhō
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • C. Shōhō
    Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
  • D. Jo-Issa
    Jo-Issa is the birth name of Issa Rae, the American actress, writer, and producer best known for creating and starring in the HBO series "Insecure."
  • E. Hagoita-ichi
    Hagoita-ichi is a traditional year-end fair in Tokyo known for its decorative wooden paddles sold as good-luck charms, especially around the Senso-ji Temple in Asakusa.
  • 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: Hosh Issa
Triple: [Beheira Governorate, majorCity, Hosh Issa]
Generated description
Hosh Issa is a town in Egypt’s Beheira Governorate known as one of the governorate’s principal urban centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hosh Issa
Target entity description: Hosh Issa is a town in Egypt’s Beheira Governorate known as one of the governorate’s principal urban centers.
  • A. Hisashi
    Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
  • B. Shōhō
    Shōhō was a Japanese era name (nengō) of the early Edo period, used for a brief span in the mid-17th century.
  • C. Shōhō
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • D. Jo-Issa
    Jo-Issa is the birth name of Issa Rae, the American actress, writer, and producer best known for creating and starring in the HBO series "Insecure."
  • E. Hagoita-ichi
    Hagoita-ichi is a traditional year-end fair in Tokyo known for its decorative wooden paddles sold as good-luck charms, especially around the Senso-ji Temple in Asakusa.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded52f288190b40288d0acbe009b completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ea8f1688190aa36e29b52667d26 completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d95f81955c8190b629d57a034a4b76 completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d961047a78819088094e02c0b99f60 completed April 10, 2026, 8:43 p.m.
Created at: April 8, 2026, 7:31 p.m.