Triple
T12789859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banha University |
E305729
|
entity |
| Predicate | locatedIn |
P40
|
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: [Banha University, locatedIn, Banha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banha Context triple: [Banha University, locatedIn, 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.
Mahwa
Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
-
C.
Bansha
Bansha is a small rural village in County Tipperary, Ireland, known for its scenic setting near the Galtee Mountains and its traditional Irish community character.
-
D.
Chaiba
Chaiba is a town located within Algeria’s coastal Tipaza Province.
-
E.
Shekkacho
Shekkacho is an Afroasiatic Omotic language spoken by the Shekkacho people in southwestern Ethiopia.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6a61f48190972e241e70bc392c |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68508e4488190bb57a1ade93987ab |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.