Triple
T16654282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurage Zone |
E404684
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Endibir
Endibir is a town in central Ethiopia that serves as an important local center within the Gurage Zone of the Southern Nations, Nationalities, and Peoples' Region.
|
E1225852
|
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: Endibir | Statement: [Gurage Zone, hasSettlement, Endibir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Endibir Context triple: [Gurage Zone, hasSettlement, Endibir]
-
A.
Mahlet
Mahlet is a traditional poetic and musical form used in the Eritrean Orthodox Church’s liturgy, characterized by its chant-like, devotional style.
-
B.
Dawuro
Dawuro is an administrative zone in the South West Region of Ethiopia, inhabited primarily by the Dawuro people and known for its distinct language and culture.
-
C.
Senafe
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
-
D.
Serota
Serota is the surname of Sir Nicholas Serota, a prominent British arts administrator best known for his long tenure as director of the Tate galleries.
-
E.
Kerebe
Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
- 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: Endibir Triple: [Gurage Zone, hasSettlement, Endibir]
Generated description
Endibir is a town in central Ethiopia that serves as an important local center within the Gurage Zone of the Southern Nations, Nationalities, and Peoples' Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Endibir Target entity description: Endibir is a town in central Ethiopia that serves as an important local center within the Gurage Zone of the Southern Nations, Nationalities, and Peoples' Region.
-
A.
Mahlet
Mahlet is a traditional poetic and musical form used in the Eritrean Orthodox Church’s liturgy, characterized by its chant-like, devotional style.
-
B.
Dawuro
Dawuro is an administrative zone in the South West Region of Ethiopia, inhabited primarily by the Dawuro people and known for its distinct language and culture.
-
C.
Senafe
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
-
D.
Serota
Serota is the surname of Sir Nicholas Serota, a prominent British arts administrator best known for his long tenure as director of the Tate galleries.
-
E.
Kerebe
Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf92de48190aaae3e93039b17f3 |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c6bf8c81909b376875ae038e3f |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a008558218c8190b0e72356ae52afd2 |
completed | May 10, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008624706881909e9a265a37eeb3fc |
completed | May 10, 2026, 1:20 p.m. |
Created at: April 10, 2026, 5:18 a.m.