Triple
T1919046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Nubian script |
E40082
|
entity |
| Predicate | notableCorpusLocation |
P3858
|
FINISHED |
| Object | Faras |
E141545
|
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: Faras | Statement: [Old Nubian script, notableCorpusLocation, Faras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faras Context triple: [Old Nubian script, notableCorpusLocation, Faras]
-
A.
Faras
chosen
Faras was an important ancient city in Nubia, known especially for its Christian-era cathedral and remarkable wall paintings discovered during archaeological excavations.
-
B.
Dender
The Dender is a river in Belgium that flows through Wallonia and Flanders before joining the Scheldt near the city of Dendermonde.
-
C.
Chenoui
Chenoui is a Berber (Amazigh) language variety spoken by the Shenwa people in northern Algeria.
-
D.
Ain Sokhna
Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
-
E.
Ankhmare
Ankhmare was an ancient Egyptian prince of the 4th Dynasty, known primarily as a son of Pharaoh Khafre.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb7c51c2881908054760c624dd577 |
completed | March 7, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3df3fdc819095cfdf508e8bdb22 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.