Triple
T3927758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bern metropolitan area |
E93317
|
entity |
| Predicate | transportHub |
P726
|
FINISHED |
| Object | A1 motorway |
E224249
|
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: A1 motorway | Statement: [Bern metropolitan area, transportHub, A1 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A1 motorway Context triple: [Bern metropolitan area, transportHub, A1 motorway]
-
A.
A1 motorway
The A1 motorway is a major east–west highway in the Netherlands that connects Amsterdam to the German border, passing through provinces including Gelderland.
-
B.
A1 motorway
chosen
The A1 motorway is a major Swiss highway that runs across the country, connecting key cities such as Geneva, Lausanne, Bern, and Zurich.
-
C.
A1 motorway
The A1 motorway is a major French highway connecting Paris to Lille and serving as a key route toward Belgium and northern Europe.
-
D.
A1 motorway
The A1 motorway is a major German autobahn running north–south that connects key cities and regions across the country.
-
E.
A2 motorway
The A2 motorway is a major European highway that serves as a key route for long-distance traffic and connects with several important motorways, including the A22.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda4f9d481908dda1b5a826ab64d |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b069d3fc8190bac9d178a571b72d |
completed | March 23, 2026, 3:15 a.m. |
Created at: March 9, 2026, 3:23 p.m.