Triple
T8466197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ras Dejen |
E200166
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Ras Dashan |
E200167
|
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 Dashan | Statement: [Ras Dejen, hasAlternativeSpelling, Ras Dashan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ras Dashan Context triple: [Ras Dejen, hasAlternativeSpelling, Ras Dashan]
-
A.
Ras Dashan
chosen
Ras Dashan is the highest mountain in Ethiopia and part of the Simien Mountains, known for its dramatic highland scenery and unique wildlife.
-
B.
Ras Gharib
Ras Gharib is an Egyptian coastal city on the Red Sea known primarily for its oil industry and energy production activities.
-
C.
Ar Rass
Ar Rass is a city in central Saudi Arabia known as one of the major urban centers of the Qassim Region.
-
D.
Ain Draham
Ain Draham is a mountainous resort town in northwestern Tunisia known for its dense cork oak forests, cool climate, and popularity as an eco-tourism and hiking destination.
-
E.
Ras al-Amud
Ras al-Amud is a predominantly Palestinian residential neighborhood located on the Mount of Olives in East Jerusalem.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d17ec8819093becdaec750aff5 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39ead11c8190bf1524713a44a6fe |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:11 p.m.