Triple
T5118750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirshabelle |
E115403
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Beledweyne |
E402243
|
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: Beledweyne | Statement: [Hirshabelle, hasCity, Beledweyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beledweyne Context triple: [Hirshabelle, hasCity, Beledweyne]
-
A.
Beledweyne
chosen
Beledweyne is a prominent city in central Somalia that serves as a key commercial and administrative center in the Hiran region.
-
B.
Nasr City
Nasr City is a large, modern district in eastern Cairo known for its wide avenues, residential neighborhoods, commercial centers, and several major governmental and military landmarks.
-
C.
Achrafieh
Achrafieh is a historic, predominantly Christian residential and commercial district in eastern Beirut known for its traditional architecture, vibrant nightlife, and cultural landmarks.
-
D.
Aziziye district
Aziziye district is an administrative district within Erzurum Province in eastern Turkey, known for its cold climate and proximity to the city of Erzurum.
-
E.
Shorouk City
Shorouk City is a planned satellite city on the outskirts of Cairo, Egypt, developed to accommodate population growth and reduce congestion in the capital.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77ce1ea48190b283cae7bb9b72eb |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4a6a7988190b9beec3f0d9494d1 |
completed | March 21, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:42 p.m.