Triple
T10873555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B1 national road |
E256716
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Hardap Region |
E434815
|
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: Hardap Region | Statement: [B1 national road, passesThrough, Hardap Region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hardap Region Context triple: [B1 national road, passesThrough, Hardap Region]
-
A.
Hardap Region
chosen
Hardap Region is a largely arid administrative region in central Namibia known for the Hardap Dam near Mariental and its significant role in the country’s agriculture and livestock farming.
-
B.
Dovre region
The Dovre region is a mountainous area in central Norway known for its rugged landscapes, national parks, and rich wildlife, including wild reindeer.
-
C.
Voss district
Voss district is a traditional region in western Norway known for its mountainous landscapes, outdoor activities, and strong cultural heritage.
-
D.
Hadeland district
Hadeland district is a traditional rural region in southeastern Norway known for its historic farms, forests, and lakes north of Oslo.
-
E.
Nordland county
Nordland county is a long, coastal region in northern Norway known for its dramatic fjords, islands, and Arctic landscapes.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751891b508190959784f212e06acb |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e373f38cfc8190977d1a59c31dac5f |
completed | April 18, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:21 p.m.