Triple
T1844959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Suez |
E41263
|
entity |
| Predicate | hasCityOnCoast |
P969
|
FINISHED |
| Object | Ras Gharib |
E205866
|
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: Ras Gharib | Statement: [Gulf of Suez, hasCityOnCoast, Ras Gharib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ras Gharib Context triple: [Gulf of Suez, hasCityOnCoast, Ras Gharib]
-
A.
Gebelawi
Gebelawi is a central, godlike patriarchal figure in Naguib Mahfouz’s novel "Children of Gebelawi," around whom the allegorical family saga and its themes of authority and rebellion revolve.
-
B.
Ras Dashan
Ras Dashan is the highest mountain in Ethiopia and part of the Simien Mountains, known for its dramatic highland scenery and unique wildlife.
-
C.
Ain Sokhna
chosen
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.
-
D.
Gash‑Barka
Gash‑Barka is a largely agricultural region in southwestern Eritrea known for its fertile land and role as one of the country’s main food-producing areas.
-
E.
Anseba
Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb04fe9d481909b5c1973d3f9b92d |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1c482908190b940497fc5d5db60 |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:33 p.m.