Triple
T17382734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South West State |
E422609
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Hirshabelle |
E115403
|
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: Hirshabelle | Statement: [South West State, sharesBorderWith, Hirshabelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hirshabelle Context triple: [South West State, sharesBorderWith, Hirshabelle]
-
A.
Hirshabelle
chosen
Hirshabelle is a federal member state in central Somalia formed from parts of the Hiiraan and Middle Shabelle regions.
-
B.
Jijiga
Jijiga is a major city in eastern Ethiopia that serves as the political and economic hub of the Somali Region.
-
C.
Mahlet
Mahlet is a traditional poetic and musical form used in the Eritrean Orthodox Church’s liturgy, characterized by its chant-like, devotional style.
-
D.
Senafe
Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
-
E.
Afar Region
The Afar Region is a northeastern Ethiopian state inhabited mainly by the Afar people, known for its arid lowlands, pastoralist culture, and proximity to the geologically active Afar Depression.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a86d8cc81909281b22f5da87d70 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019ff72ca08190a5ea8a1ba6330728 |
completed | May 11, 2026, 9:23 a.m. |
Created at: April 10, 2026, 5:45 a.m.