Triple
T14314335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limmattal |
E354914
|
entity |
| Predicate | transportServedBy |
P1298
|
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: [Limmattal, transportServedBy, A1 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A1 motorway Context triple: [Limmattal, transportServedBy, A1 motorway]
-
A.
A1 motorway
The A1 motorway is a major Romanian highway forming part of the European route network, linking Bucharest and other key cities in southern and western Romania toward the Hungarian border.
-
B.
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.
-
C.
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.
-
D.
A1 motorway
The A1 motorway is a major German autobahn running north–south that connects key cities and regions across the country.
-
E.
A1 motorway
The A1 motorway is a major Portuguese highway that forms the primary north–south route between Lisbon and Porto, passing near cities such as Santarém.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b49e5481909b9ffab2d922e284 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0860fe6d1081909f1add3139b03a76 |
completed | May 16, 2026, 12:20 p.m. |
Created at: April 10, 2026, 1:12 a.m.