Triple
T8389294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zahara Marley Jolie-Pitt |
E197900
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Awasa
Awasa is a city in southern Ethiopia, known as the capital of the Sidama Region and a hub by Lake Awasa.
|
E730157
|
NE FINISHED |
How this triple was built (4 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: Awasa | Statement: [Zahara Marley Jolie-Pitt, placeOfBirth, Awasa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awasa Context triple: [Zahara Marley Jolie-Pitt, placeOfBirth, Awasa]
-
A.
Bahir Dar
Bahir Dar is a major city in northwestern Ethiopia, known for its location on the southern shore of Lake Tana and as a gateway to the Blue Nile Falls and nearby monasteries.
-
B.
Addis Ababa
Addis Ababa is the capital and largest city of Ethiopia, serving as a major political and diplomatic hub in Africa that hosts numerous international organizations and institutions.
-
C.
Mekelle
Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
-
D.
Massawa
Massawa is a historic Eritrean port city on the Red Sea, known for its strategic maritime location and Ottoman- and Italian-influenced architecture.
-
E.
Bishoftu
Bishoftu is a town in central Ethiopia known for its lakes and as a major military and air force center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Awasa Triple: [Zahara Marley Jolie-Pitt, placeOfBirth, Awasa]
Generated description
Awasa is a city in southern Ethiopia, known as the capital of the Sidama Region and a hub by Lake Awasa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Awasa Target entity description: Awasa is a city in southern Ethiopia, known as the capital of the Sidama Region and a hub by Lake Awasa.
-
A.
Bahir Dar
Bahir Dar is a major city in northwestern Ethiopia, known for its location on the southern shore of Lake Tana and as a gateway to the Blue Nile Falls and nearby monasteries.
-
B.
Addis Ababa
Addis Ababa is the capital and largest city of Ethiopia, serving as a major political and diplomatic hub in Africa that hosts numerous international organizations and institutions.
-
C.
Mekelle
Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
-
D.
Massawa
Massawa is a historic Eritrean port city on the Red Sea, known for its strategic maritime location and Ottoman- and Italian-influenced architecture.
-
E.
Bishoftu
Bishoftu is a town in central Ethiopia known for its lakes and as a major military and air force center.
- F. None of above. chosen
Provenance (5 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810ac380819095bd67f0555ac2a8 |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde84427dc8190925150b5d52bc9a0 |
completed | April 2, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69cdebfafe84819097f387318897dae1 |
completed | April 2, 2026, 4:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cded2a9c2c8190bdbeddad562ef9e8 |
completed | April 2, 2026, 4:14 a.m. |
Created at: March 30, 2026, 6:03 p.m.