Triple
T17591320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National road 8 (Switzerland) |
E428453
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | N8 |
—
|
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: N8 | Statement: [National road 8 (Switzerland), hasAbbreviation, N8]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: N8 Context triple: [National road 8 (Switzerland), hasAbbreviation, N8]
-
A.
N8
chosen
N8 is a designated national highway route, commonly used to identify a major intercity road in certain countries’ transportation networks.
-
B.
N8
N8 is a specific neuraminidase antigenic subtype found on the surface of certain influenza A viruses, used to classify and distinguish viral strains.
-
C.
N88
N88 is a French national highway that connects several major towns and regions in south-central France, notably linking areas such as Toulouse and Lyon via Albi and Le Puy-en-Velay.
-
D.
N84
N84 is a regional road that serves as a key junction route connecting to the town of Bastogne in Belgium.
-
E.
N86
N86 is a Nokia smartphone model known for its dual-slider design and advanced camera features for its time.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e6e3888190b73a5b6d7e8c0a55 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.