Triple
T23143204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African National Route network |
E577516
|
entity |
| Predicate | includesRoute |
P4374
|
FINISHED |
| Object | N12 |
—
|
NE NERFINISHED |
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: N12 | Statement: [South African National Route network, includesRoute, N12]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N12 Context triple: [South African National Route network, includesRoute, N12]
-
A.
N12
chosen
N12 is a national highway designation used for a major numbered route within a country's road network.
-
B.
N10
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.
-
C.
N10
The N10 is the second-generation Datsun Cherry, a compact front-wheel-drive Japanese hatchback and sedan produced in the late 1970s.
-
D.
N1
N1 is a central London postcode district covering parts of Islington, Hoxton, and surrounding areas known for their vibrant urban character.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecc3710819088ac5d72dad0459a |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4 p.m.