Triple
T13065999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upington |
E329324
|
entity |
| Predicate | locatedOnRoad |
P20522
|
FINISHED |
| Object | N10 |
E962020
|
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: N10 | Statement: [Upington, locatedOnRoad, N10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N10 Context triple: [Upington, locatedOnRoad, N10]
-
A.
N10
chosen
N10 is a numbered national route that intersects with South Africa’s major National Route N2 as part of the country’s primary road network.
-
B.
N1
N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
-
C.
N106
N106 is a French national road that serves as a key route connecting the town of Alès to other parts of southern France.
-
D.
N-10
N-10 is a major coastal highway in Pakistan that runs along the Makran coast, connecting key towns and ports in the country’s southwest.
-
E.
N104
N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980eb81948190b27eb9ae19978079 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe630808190a9a3481127bbaa86 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:59 p.m.