Triple
T11375195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katameya–Ain Sokhna Road |
E269448
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Katameya |
E922075
|
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: Katameya | Statement: [Katameya–Ain Sokhna Road, terminus, Katameya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katameya Context triple: [Katameya–Ain Sokhna Road, terminus, Katameya]
-
A.
Katameya
chosen
Katameya is an upscale residential and commercial district on the eastern outskirts of Cairo, Egypt, known for its gated communities, golf courses, and modern developments.
-
B.
Kiname
"Kiname" is a popular song by Congolese singer-songwriter Fally Ipupa, known for its blend of contemporary Congolese rumba and Afro-pop rhythms.
-
C.
Kamayurá
Kamayurá is an indigenous people of Brazil’s Upper Xingu region, known for their distinct Tupi–Guaraní language and rich ceremonial and ritual traditions.
-
D.
Kunitachi
Kunitachi is a suburban city in western Tokyo, Japan, known for its universities, tree-lined avenues, and residential character.
-
E.
Yamanakako
Yamanakako is a village in Yamanashi Prefecture, Japan, known for Lake Yamanaka, one of the Fuji Five Lakes located near Mount Fuji.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8e6d44819095f949581421e98e |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58bff6574819089bd63266b97a734 |
completed | April 20, 2026, 2:14 a.m. |
Created at: April 8, 2026, 9:33 p.m.