Triple
T15836616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somaliland forces |
E384000
|
entity |
| Predicate | controls |
P760
|
FINISHED |
| Object | Borama |
E753480
|
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: Borama | Statement: [Somaliland forces, controls, Borama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borama Context triple: [Somaliland forces, controls, Borama]
-
A.
Borama
chosen
Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
-
B.
Byari
Byari is a Dravidian language spoken primarily by the Beary Muslim community in coastal Karnataka, India.
-
C.
Bori
Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
-
D.
Bori
Bori is a traditional West African spiritual practice and possession cult, particularly associated with the Hausa people and their pre-Islamic religious heritage.
-
E.
Boghni
Boghni is a town and commune in northern Algeria’s Kabylie region, known for its Berber (Amazigh) cultural heritage and mountainous surroundings.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e1fcd48190bcb884f6c65db847 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93ddce4819086174b2549f5e12b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.