Triple
T20672799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M4 motorway (Hungary) |
E508072
|
entity |
| Predicate | hasRouteNumber |
P1864
|
FINISHED |
| Object |
M4
M4 is a major Hungarian controlled-access motorway that forms part of the country’s east–west transport corridor, connecting Budapest with eastern regions and onward routes toward Romania.
|
E1444862
|
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: M4 | Statement: [M4 motorway (Hungary), hasRouteNumber, M4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M4 Context triple: [M4 motorway (Hungary), hasRouteNumber, M4]
-
A.
M4
M4 is a general-purpose macro processing language and preprocessor commonly used in Unix-like build systems and tools such as GNU Autoconf.
-
B.
M4
M4 is one of the lines of the Bucharest Metro rapid transit system, serving several northern and northwestern districts of Romania’s capital.
-
C.
M4
M4 is a New York City bus route that runs through Manhattan, connecting key neighborhoods including Morningside Heights with Midtown and downtown areas.
-
D.
M4
M4 is a major South African metropolitan route that superseded part of the former National Route 32, serving as an important urban arterial road.
-
E.
M4
M4 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across Lake Geneva.
- 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: M4 Triple: [M4 motorway (Hungary), hasRouteNumber, M4]
Generated description
M4 is a major Hungarian controlled-access motorway that forms part of the country’s east–west transport corridor, connecting Budapest with eastern regions and onward routes toward Romania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M4 Target entity description: M4 is a major Hungarian controlled-access motorway that forms part of the country’s east–west transport corridor, connecting Budapest with eastern regions and onward routes toward Romania.
-
A.
M4
M4 is one of the lines of the Bucharest Metro rapid transit system, serving several northern and northwestern districts of Romania’s capital.
-
B.
M4
M4 is a major British motorway that runs between London and South Wales, serving as a key route for traffic to and from the west of England.
-
C.
M4
M4 is a major South African metropolitan route that superseded part of the former National Route 32, serving as an important urban arterial road.
-
D.
M4
M4 is one of the main lines of the Paris Métro, running north–south across the city and serving several central and historically significant stations.
-
E.
M4
M4 is a New York City bus route that runs through Manhattan, connecting key neighborhoods including Morningside Heights with Midtown and downtown areas.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cb1fc88190805f623e93a70368 |
completed | April 20, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd66b6b88190a863948cb31c9af7 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d175eefc8190a5178c0f70f7d79f |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d23e8ac48190be1726c8e4913b1a |
completed | May 16, 2026, 8:23 p.m. |
Created at: April 16, 2026, 11:44 a.m.