Triple
T2873880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qalyubia Governorate |
E56828
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Banha |
E305729
|
NE FINISHED |
How this triple was built (2 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: Banha | Statement: [Qalyubia Governorate, hasMajorCity, Banha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banha Context triple: [Qalyubia Governorate, hasMajorCity, Banha]
-
A.
Banha
chosen
Banha is a major city in Egypt’s Nile Delta region, known as an agricultural and commercial hub within Qalyubia Governorate.
-
B.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
-
C.
Hatta
Hatta is an Indonesian surname most prominently associated with Mohammad Hatta, the country’s first vice president and a leading figure in the struggle for independence.
-
D.
Bansin
Bansin is a seaside resort town on Germany’s Baltic Sea coast, known as one of the “Kaiserbäder” (Imperial Spas) on the island of Usedom.
-
E.
Nambui
Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe0032ddc8190bb4d15ec7e3c63e8 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03153b5048190925bfacc07f2db66 |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.