Triple
T1740403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simien Mountains |
E38219
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Ras Dashen |
E38892
|
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 Dashen | Statement: [Simien Mountains, highestPoint, Ras Dashen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ras Dashen Context triple: [Simien Mountains, highestPoint, Ras Dashen]
-
A.
Ras Dashen
chosen
Ras Dashen is a prominent mountain peak in northern Ethiopia, renowned as the country’s highest summit and a key feature of the Simien Mountains.
-
B.
Ras Baraka
Ras Baraka is an American politician, educator, and poet who serves as the progressive mayor of Newark, New Jersey.
-
C.
Koba
Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
-
D.
Negus of Abyssinia
The Negus of Abyssinia was the Christian king of the ancient Ethiopian kingdom of Aksum, historically noted for offering refuge to early Muslims and playing a role in early Islamic history.
-
E.
Pasha
Pasha is a high-ranking title of nobility and military or administrative authority historically used in the Ottoman Empire and some neighboring regions.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63c5ab648190bceae2a19fa18e87 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8b060d64819096ba0522ccce9145 |
completed | March 8, 2026, 2:43 p.m. |
Created at: March 4, 2026, 7:30 p.m.