Triple
T6696690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grande Raccordo Anulare |
E152767
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
A90
A90 is the orbital motorway encircling Rome, Italy, serving as a major ring road for traffic around the city.
|
E610554
|
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: A90 | Statement: [Grande Raccordo Anulare, alsoKnownAs, A90]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A90 Context triple: [Grande Raccordo Anulare, alsoKnownAs, A90]
-
A.
A9
A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
-
B.
A9
A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
-
C.
A91
A91 is a major Italian motorway connecting Rome to Leonardo da Vinci–Fiumicino Airport.
-
D.
A96
A96 is a major German autobahn in southern Bavaria that connects Munich with Lindau near the Austrian and Swiss borders.
-
E.
A92
A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
- 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: A90 Triple: [Grande Raccordo Anulare, alsoKnownAs, A90]
Generated description
A90 is the orbital motorway encircling Rome, Italy, serving as a major ring road for traffic around the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A90 Target entity description: A90 is the orbital motorway encircling Rome, Italy, serving as a major ring road for traffic around the city.
-
A.
A9
A9 is a major Swiss motorway that runs across the southwestern part of the country, connecting key regions in Valais and linking to international routes.
-
B.
A9
A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
-
C.
A91
A91 is a major Italian motorway connecting Rome to Leonardo da Vinci–Fiumicino Airport.
-
D.
A96
A96 is a major German autobahn in southern Bavaria that connects Munich with Lindau near the Austrian and Swiss borders.
-
E.
A92
A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0a3a2408190bb7be4613f896bdc |
completed | March 27, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7bd965881908a128d97f1c94dd0 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f86fb37c8190ba0ed52d998643d6 |
completed | March 27, 2026, 9:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f8d6c9d481908d988984e0aed6bc |
completed | March 27, 2026, 9:38 p.m. |
Created at: March 27, 2026, 2:05 p.m.