Triple
T1208562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castleton |
E25945
|
entity |
| Predicate | hasRoad |
P959
|
FINISHED |
| Object |
A6187
The A6187 is a main road in the Peak District of England that connects several villages and provides access to the area around Castleton.
|
E138199
|
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: A6187 | Statement: [Castleton, hasRoad, A6187]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A6187 Context triple: [Castleton, hasRoad, A6187]
-
A.
A682
The A682 is a primary road in northern England that runs through Lancashire and North Yorkshire, linking towns such as Rawtenstall and serving as a key route across the Pennines.
-
B.
A6
A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
-
C.
B6
B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
-
D.
A9
A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
-
E.
A92
A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
- 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: A6187 Triple: [Castleton, hasRoad, A6187]
Generated description
The A6187 is a main road in the Peak District of England that connects several villages and provides access to the area around Castleton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A6187 Target entity description: The A6187 is a main road in the Peak District of England that connects several villages and provides access to the area around Castleton.
-
A.
A682
The A682 is a primary road in northern England that runs through Lancashire and North Yorkshire, linking towns such as Rawtenstall and serving as a key route across the Pennines.
-
B.
A6
A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
-
C.
B6
B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
-
D.
A9
A9 is a major German autobahn that runs north–south, connecting Berlin with Munich and passing through regions such as Middle Franconia.
-
E.
A92
A92 is a major trunk road in eastern Scotland that runs along the coast, connecting several key towns and cities including Dundee and Aberdeen.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bde18d208190848c189b2b8d585f |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f419b8c8190ac7642b9b4108df8 |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fce1b788190a133ea6f92c62842 |
completed | March 7, 2026, 7:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8074334081909ad7a045fc23ea71 |
completed | March 7, 2026, 7:45 p.m. |
Created at: March 1, 2026, 7:46 p.m.