Triple
T2386993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A1 autoroute |
E48845
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | A1 |
E144275
|
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 | Statement: [A1 autoroute, hasAbbreviation, A1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A1 Context triple: [A1 autoroute, hasAbbreviation, A1]
-
A.
A1
chosen
A1 is the designation of Switzerland’s primary east–west motorway, connecting major cities such as Geneva, Bern, Zurich, and St. Gallen.
-
B.
A12
The A12 is a major road in England that connects London with East Anglia, serving key towns and cities including Ipswich and Colchester.
-
C.
A14
A14 is a major trunk road in England that forms a key east–west freight and commuter route linking the Midlands to the East Coast ports.
-
D.
A2
A2 is a common nickname for Ann Arbor, Michigan, often used by locals and in regional culture.
-
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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc7d9d8148190bb8aa16fd4364aba |
completed | March 7, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf36dcac8190a17d9af8cd1660c4 |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 4, 2026, 7:57 p.m.