Triple
T10547027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forchheim |
E248845
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | A73 motorway |
E659006
|
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: A73 motorway | Statement: [Forchheim, locatedOn, A73 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A73 motorway Context triple: [Forchheim, locatedOn, A73 motorway]
-
A.
A73 motorway
The A73 motorway is a major Dutch highway in the southeastern Netherlands that connects several cities and regions, including the area around Heumen.
-
B.
A73 motorway
chosen
The A73 motorway is a major German autobahn that runs through Bavaria and Thuringia, linking cities such as Nuremberg, Erlangen, Bamberg, and Suhl.
-
C.
A71 motorway
The A71 motorway is a major French autoroute running through central France, linking Orléans to Clermont-Ferrand and forming part of a key north–south route.
-
D.
A75 motorway
The A75 motorway is a major French highway running through central and southern France, known for connecting Clermont-Ferrand to Béziers and featuring the iconic Millau Viaduct.
-
E.
A77 motorway
The A77 motorway is a major French highway in central France that connects the Paris region to Nevers and continues toward the Massif Central.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d20ef48190ab9f70d4ce5f2a11 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9112948190a0dd747a67f8206a |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 6, 2026, 12:33 p.m.