Triple
T16188882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maekel |
E392880
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Central Region |
E938006
|
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: Central Region | Statement: [Maekel, alsoKnownAs, Central Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Central Region Context triple: [Maekel, alsoKnownAs, Central Region]
-
A.
Central Region
Central Region was a former local government region in central Scotland that existed from 1975 to 1996, encompassing areas such as Stirling, Clackmannan, and Falkirk.
-
B.
Central Region
chosen
Central Region is one of Uganda’s four main administrative regions, encompassing the capital Kampala and serving as the country’s political and economic hub.
-
C.
Central Region
Central Region is one of Ghana’s administrative regions, known for its historic coastal forts, educational institutions, and tourism centered around Cape Coast and Elmina.
-
D.
Central Region
Central Region is a competitive NCAA Division III athletic area that includes Washington University in St. Louis among its member institutions.
-
E.
Central Region
Central Region is a key urban planning area in Singapore that encompasses the city’s downtown core and several major commercial and residential districts.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d3a8e48190bdf29a633f4b0490 |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ecd897c81908cbea306c9f95da3 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:02 a.m.