Triple
T6857366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loanhead |
E158180
|
entity |
| Predicate | roadAccess |
P385
|
FINISHED |
| Object |
A702
The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
|
E624250
|
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: A702 | Statement: [Loanhead, roadAccess, A702]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A702 Context triple: [Loanhead, roadAccess, A702]
-
A.
A705
A705 is a regional road in the United Kingdom that provides a transport link to the town of Howden.
-
B.
A73
A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
-
C.
A7
A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
-
D.
A2100
A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
-
E.
A127
The A127 is a major road in Essex, England, linking London with Southend-on-Sea and serving towns such as Basildon along its 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: A702 Triple: [Loanhead, roadAccess, A702]
Generated description
The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A702 Target entity description: The A702 is a major road in Scotland that connects Edinburgh to the south, serving as a key route toward the English border and the M74.
-
A.
A705
A705 is a regional road in the United Kingdom that provides a transport link to the town of Howden.
-
B.
A73
A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
-
C.
A7
A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
-
D.
A2100
A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
-
E.
A127
The A127 is a major road in Essex, England, linking London with Southend-on-Sea and serving towns such as Basildon along its 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d870a8088190b42fde7626735cb1 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fe28dc88190a9c7794b78374ecf |
completed | March 28, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c736684f848190a5fb1b82e152b8a5 |
completed | March 28, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c736d828f88190a388d559c673861a |
completed | March 28, 2026, 2:03 a.m. |
Created at: March 27, 2026, 2:21 p.m.