Triple
T3858067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debub |
E90066
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Senafe
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
|
E392885
|
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: Senafe | Statement: [Debub, hasTown, Senafe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senafe Context triple: [Debub, hasTown, Senafe]
-
A.
Mekelle
Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
-
B.
Wolaytta
Wolaytta is a Cushitic-influenced Omotic language spoken primarily by the Wolaytta people in southern Ethiopia.
-
C.
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.
-
D.
Hirshabelle
Hirshabelle is a federal member state in central Somalia formed from parts of the Hiiraan and Middle Shabelle regions.
-
E.
Tantu
Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
- 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: Senafe Triple: [Debub, hasTown, Senafe]
Generated description
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Senafe Target entity description: Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
-
A.
Mekelle
Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
-
B.
Wolaytta
Wolaytta is a Cushitic-influenced Omotic language spoken primarily by the Wolaytta people in southern Ethiopia.
-
C.
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.
-
D.
Hirshabelle
Hirshabelle is a federal member state in central Somalia formed from parts of the Hiiraan and Middle Shabelle regions.
-
E.
Tantu
Tantu is a Kannada novel by acclaimed Indian writer S. L. Bhyrappa, known for its exploration of complex social and philosophical themes.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1e68f88190941c39221486f6ae |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b504228220819082e11b316ba79b08 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b505420de0819086dee340f34a8886 |
completed | March 14, 2026, 6:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5064192a48190a0f95dee872437e0 |
completed | March 14, 2026, 6:54 a.m. |
Created at: March 9, 2026, 3:19 p.m.