Triple
T20345130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moers |
E495845
|
entity |
| Predicate | hasHighwayConnection |
P385
|
FINISHED |
| Object |
A42
A42 is a German autobahn that serves as a key east–west route in the Ruhr area, connecting several industrial cities including Moers.
|
E1424991
|
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: A42 | Statement: [Moers, hasHighwayConnection, A42]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A42 Context triple: [Moers, hasHighwayConnection, A42]
-
A.
A42
The A42 is a major road in England that links the M1 motorway near Kegworth with the M42 near Ashby-de-la-Zouch, providing an important route through the East Midlands.
-
B.
A420
The A420 is a major road in England that links Bristol to Oxford, passing through towns such as Chippenham and Swindon.
-
C.
A420
The A420 is an early model in Acorn Computers' Archimedes line of ARM-based personal computers introduced in the late 1980s.
-
D.
A427
The A427 is a primary road in England that serves as a key route connecting the town of Corby with other nearby settlements and regional highways.
-
E.
A428
The A428 is a major road in eastern England that links Cambridge with Bedford and other nearby towns, serving as an important regional transport route.
- 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: A42 Triple: [Moers, hasHighwayConnection, A42]
Generated description
A42 is a German autobahn that serves as a key east–west route in the Ruhr area, connecting several industrial cities including Moers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A42 Target entity description: A42 is a German autobahn that serves as a key east–west route in the Ruhr area, connecting several industrial cities including Moers.
-
A.
A42
The A42 is a major road in England that links the M1 motorway near Kegworth with the M42 near Ashby-de-la-Zouch, providing an important route through the East Midlands.
-
B.
A420
The A420 is a major road in England that links Bristol to Oxford, passing through towns such as Chippenham and Swindon.
-
C.
A420
The A420 is an early model in Acorn Computers' Archimedes line of ARM-based personal computers introduced in the late 1980s.
-
D.
A427
The A427 is a primary road in England that serves as a key route connecting the town of Corby with other nearby settlements and regional highways.
-
E.
A428
The A428 is a major road in eastern England that links Cambridge with Bedford and other nearby towns, serving as an important regional transport route.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67838744481909069b76b25dd4bb9 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0869616b388190a7a2d69c0188f180 |
completed | May 16, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0869f7b4208190858fdeae882e008d |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a893f1c81909bc40e3c4db0e147 |
completed | May 16, 2026, 1 p.m. |
Created at: April 16, 2026, 11:24 a.m.