Triple
T8360285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Gezira |
E196989
|
entity |
| Predicate | separatedFrom |
P243
|
FINISHED |
| Object | Dokki |
E578152
|
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: Dokki | Statement: [El Gezira, separatedFrom, Dokki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dokki Context triple: [El Gezira, separatedFrom, Dokki]
-
A.
Dokki
chosen
Dokki is a prominent district in Giza, Egypt, known for its government institutions, educational centers, and residential neighborhoods just across the Nile from central Cairo.
-
B.
Dokka
Dokka is a small Norwegian town that serves as a local commercial and service center in the inland region of Oppland.
-
C.
Dokos
Dokos is a small, sparsely inhabited Greek island in the Saronic Gulf, known for its rugged landscape and archaeological significance.
-
D.
Doryumu
Doryumu is a town in Ghana located near the Shai Hills Resource Reserve in the Greater Accra Region.
-
E.
Ohoka
Ohoka is a small rural township in New Zealand’s Canterbury region, known for its lifestyle properties and proximity to Christchurch.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80728eb081909bae6aae45848fab |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7bd74fc8190abdb2813d51d79f8 |
completed | April 2, 2026, 3:51 a.m. |
Created at: March 30, 2026, 6 p.m.