Triple
T22864307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Route 40 |
E567008
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | RN40 |
—
|
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: RN40 | Statement: [National Route 40, shortName, RN40]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RN40 Context triple: [National Route 40, shortName, RN40]
-
A.
RN40
chosen
RN40 is one of Argentina’s most famous highways, running parallel to the Andes and spanning the country from north to south through diverse landscapes and major tourist regions.
-
B.
RN4
RN4 is a major French national highway that connects Paris to the eastern regions of France, serving as an important route toward cities like Nancy and Strasbourg.
-
C.
RN6
RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
-
D.
RN7
RN7 is a historic major national road in France that runs from Paris toward the Mediterranean, long known as a primary holiday route.
-
E.
R40
The R40 is a regional road in South Africa that runs through parts of Mpumalanga and Limpopo, connecting towns such as Hazyview and serving as a key route to nearby tourist destinations and game reserves.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17effd93081909f2c9a8857a8728b |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.