Triple
T14901006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M60 motorway |
E360001
|
entity |
| Predicate | hasJunction |
P1018
|
FINISHED |
| Object |
Junction 5a
Junction 5a is a numbered interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
|
E1129411
|
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: Junction 5a | Statement: [M60 motorway, hasJunction, Junction 5a]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junction 5a Context triple: [M60 motorway, hasJunction, Junction 5a]
-
A.
Junction 6
Junction 6 is an interchange on England’s M58 motorway connecting local roads to the regional motorway network.
-
B.
Junction 3a
Junction 3a is a numbered interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
-
C.
Junction 3
Junction 3 is a major motorway interchange on the M53 in northwest England, connecting local routes to the wider regional road network.
-
D.
Junction 3
Junction 3 is a numbered exit on England’s M66 motorway serving local connections in the Greater Manchester area.
-
E.
Junction 1
Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional 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: Junction 5a Triple: [M60 motorway, hasJunction, Junction 5a]
Generated description
Junction 5a is a numbered interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Junction 5a Target entity description: Junction 5a is a numbered interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
-
A.
Junction 6
Junction 6 is an interchange on England’s M58 motorway connecting local roads to the regional motorway network.
-
B.
Junction 3a
Junction 3a is a numbered interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
-
C.
Junction 3
Junction 3 is a major motorway interchange on the M53 in northwest England, connecting local routes to the wider regional road network.
-
D.
Junction 3
Junction 3 is a numbered exit on England’s M66 motorway serving local connections in the Greater Manchester area.
-
E.
Junction 1
Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded609bf68819099ca3aa3fe1acadc |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bcf32a48190b1f036016f2689b7 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8d68bbec8190a60233dc22bcb69f |
completed | May 9, 2026, 1:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8e8f0c588190a91c1fca25708a05 |
completed | May 9, 2026, 1:31 a.m. |
Created at: April 10, 2026, 2:11 a.m.