Triple
T16381862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohangwena Region |
E397824
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Eenhana |
E1209558
|
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: Eenhana | Statement: [Ohangwena Region, hasSettlement, Eenhana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eenhana Context triple: [Ohangwena Region, hasSettlement, Eenhana]
-
A.
Eenhana
chosen
Eenhana is a town in northern Namibia that serves as the administrative and commercial center of the Ohangwena Region.
-
B.
Ekhoni
Ekhoni is a Bengali film directed by Tapan Sinha, known for its realistic portrayal of urban youth and social issues in contemporary Kolkata.
-
C.
Onhaye
Onhaye is a small municipality in the Walloon region of Belgium, known for its rural landscapes and historic villages.
-
D.
Biloela
Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
-
E.
Mahlaing
Mahlaing is a town located in central Myanmar’s Mandalay Region.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319dd0e0c8190812bde6a2f7d9644 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457751208190b1e3dd6be3c0f363 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:08 a.m.