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.