Triple
T4046765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss motorway network |
E84083
|
entity |
| Predicate | hasRoute |
P4374
|
FINISHED |
| Object | A2 |
E402883
|
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: A2 | Statement: [Swiss motorway network, hasRoute, A2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A2 Context triple: [Swiss motorway network, hasRoute, A2]
-
A.
A2
A2 is a common nickname for Ann Arbor, Michigan, often used by locals and in regional culture.
-
B.
A2
chosen
A2 is a major coastal highway route, commonly designated in several countries as a key road running along or near the shoreline to connect important coastal cities and regions.
-
C.
A22
A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
-
D.
A3
A3 is a major national highway in Zimbabwe that serves as an important route connecting key towns and regions within the country.
-
E.
A3
A3 is a major German autobahn that runs across several federal states, serving as an important east–west transport corridor.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb62593c8190ab8462c4d9cd9d08 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55652228c8190a9f301676deb0055 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.