Triple
T9800987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A4 |
E237835
|
entity |
| Predicate | hasEuropeanRouteDesignation |
P65888
|
FINISHED |
| Object |
E54
E54 is a European route that forms part of the international E-road network, connecting cities across multiple countries in Europe.
|
E822156
|
NE FINISHED |
How this triple was built (4 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: E54 | Statement: [A4, hasEuropeanRouteDesignation, E54]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E54 Context triple: [A4, hasEuropeanRouteDesignation, E54]
-
A.
E60
E60 is a major trans-European route that stretches from Brest in France to Irkeshtam on the Kyrgyz–Chinese border, crossing numerous countries across the continent.
-
B.
E42
E42 is a major European route that runs across parts of Western Europe, connecting key cities and motorways in countries such as France, Belgium, Luxembourg, and Germany.
-
C.
E53
E53 is the internal BMW designation for the first-generation BMW X5 mid-size luxury SUV produced from 1999 to 2006.
-
D.
E65
E65 is a major European route that runs north–south through several countries in Central and Southeastern Europe, connecting important cities and transport hubs.
-
E.
E45
E45 is a major north–south European route that runs from northern Scandinavia through central Europe down to Italy, connecting multiple countries along its corridor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: E54 Triple: [A4, hasEuropeanRouteDesignation, E54]
Generated description
E54 is a European route that forms part of the international E-road network, connecting cities across multiple countries in Europe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E54 Target entity description: E54 is a European route that forms part of the international E-road network, connecting cities across multiple countries in Europe.
-
A.
E60
E60 is a major trans-European route that stretches from Brest in France to Irkeshtam on the Kyrgyz–Chinese border, crossing numerous countries across the continent.
-
B.
E42
E42 is a major European route that runs across parts of Western Europe, connecting key cities and motorways in countries such as France, Belgium, Luxembourg, and Germany.
-
C.
E53
E53 is the internal BMW designation for the first-generation BMW X5 mid-size luxury SUV produced from 1999 to 2006.
-
D.
E65
E65 is a major European route that runs north–south through several countries in Central and Southeastern Europe, connecting important cities and transport hubs.
-
E.
E45
E45 is a major north–south European route that runs from northern Scandinavia through central Europe down to Italy, connecting multiple countries along its corridor.
- F. None of above. chosen
Provenance (5 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62a11a88190880e0cce24923b14 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c44a652c81908f644e1a5efe3eb1 |
completed | April 5, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69d1c4fc4cc88190b020f672b9f9ba27 |
completed | April 5, 2026, 2:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c5a1cfb08190b6c16e5309dbf2b8 |
completed | April 5, 2026, 2:14 a.m. |
Created at: March 30, 2026, 8:29 p.m.