Triple
T15203653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M50 motorway |
E363328
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object |
M50
M50 is a major motorway in the United Kingdom that runs between the M5 near Tewkesbury and the A40 near Ross-on-Wye, serving as an important link in the regional road network.
|
E1143436
|
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: M50 | Statement: [M50 motorway, roadNumber, M50]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M50 Context triple: [M50 motorway, roadNumber, M50]
-
A.
M5
M5 is a major British motorway that runs through the West Midlands and South West England, connecting the Midlands to the South West peninsula.
-
B.
M5
M5 is a line of the Bucharest Metro rapid transit system serving parts of Romania’s capital city.
-
C.
M5
M5 is a New York City bus route that runs along Manhattan’s west side, connecting Lower Manhattan with uptown neighborhoods including Morningside Heights.
-
D.
M-50
M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
-
E.
M-50
M-50 is a state trunkline highway in Michigan that runs east–west across the southern part of the state, connecting several communities and major routes.
- 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: M50 Triple: [M50 motorway, roadNumber, M50]
Generated description
M50 is a major motorway in the United Kingdom that runs between the M5 near Tewkesbury and the A40 near Ross-on-Wye, serving as an important link in the regional road network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M50 Target entity description: M50 is a major motorway in the United Kingdom that runs between the M5 near Tewkesbury and the A40 near Ross-on-Wye, serving as an important link in the regional road network.
-
A.
M5
M5 is a New York City bus route that runs along Manhattan’s west side, connecting Lower Manhattan with uptown neighborhoods including Morningside Heights.
-
B.
M5
M5 is a major British motorway that runs through the West Midlands and South West England, connecting the Midlands to the South West peninsula.
-
C.
M5
M5 is a line of the Bucharest Metro rapid transit system serving parts of Romania’s capital city.
-
D.
M-50
M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
-
E.
M-50
M-50 is a state trunkline highway in Michigan that runs east–west across the southern part of the state, connecting several communities and major routes.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b693a48190a6230b7b52bc8cd3 |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3390b708190b10c876c437c72c8 |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed44b2e3c8190aad111e2bc2b56a2 |
completed | May 9, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed547192c8190b89755fff48ca620 |
completed | May 9, 2026, 6:33 a.m. |
Created at: April 10, 2026, 3:10 a.m.