Triple
T17382731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South West State |
E422609
|
entity |
| Predicate | containsRegion |
P285
|
FINISHED |
| Object | Bakool |
E1121393
|
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: Bakool | Statement: [South West State, containsRegion, Bakool]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakool Context triple: [South West State, containsRegion, Bakool]
-
A.
Bakool
chosen
Bakool is an administrative region in southwestern Somalia known for its predominantly rural communities and location near the Ethiopian border.
-
B.
Bakhah
Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
-
C.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
D.
Jibbali
Jibbali, also known as Shehri, is a Modern South Arabian language spoken in parts of Oman, closely related to Mehri and distinct from Arabic.
-
E.
Waghala
Waghala is a town in Maharashtra, India, that forms part of the urban area administered by the Nanded-Waghala City Municipal Corporation.
- 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_6a01a7f182488190a47260c417ccca22 |
completed | May 11, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:45 a.m.