Triple
T16278892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedwas |
E395210
|
entity |
| Predicate | hasNeighbouringVillage |
P22613
|
FINISHED |
| Object |
Machen
Machen is a village in Caerphilly County Borough, South Wales, known for its semi-rural setting and historical links to coal mining and ironworks.
|
E1203445
|
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: Machen | Statement: [Bedwas, hasNeighbouringVillage, Machen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machen Context triple: [Bedwas, hasNeighbouringVillage, Machen]
-
A.
Machen
Machen is a surname most notably associated with J. Gresham Machen, an influential early 20th-century American Presbyterian theologian and New Testament scholar.
-
B.
Make
Make is a widely used build automation tool that uses Makefiles to compile and manage software projects by tracking dependencies and executing build commands.
-
C.
Makonnen
Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
-
D.
Made
Made is a town in the Dutch province of North Brabant, known as one of the population centers within the municipality of Drimmelen.
-
E.
MaK
MaK is a German engineering and manufacturing company historically known for producing heavy machinery, locomotives, and military vehicles.
- 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: Machen Triple: [Bedwas, hasNeighbouringVillage, Machen]
Generated description
Machen is a village in Caerphilly County Borough, South Wales, known for its semi-rural setting and historical links to coal mining and ironworks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Machen Target entity description: Machen is a village in Caerphilly County Borough, South Wales, known for its semi-rural setting and historical links to coal mining and ironworks.
-
A.
Machen
Machen is a surname most notably associated with J. Gresham Machen, an influential early 20th-century American Presbyterian theologian and New Testament scholar.
-
B.
Make
Make is a widely used build automation tool that uses Makefiles to compile and manage software projects by tracking dependencies and executing build commands.
-
C.
Makonnen
Makonnen is an Ethiopian nobleman and military leader best known as the father of Emperor Haile Selassie I.
-
D.
Made
Made is a town in the Dutch province of North Brabant, known as one of the population centers within the municipality of Drimmelen.
-
E.
MaK
MaK is a German engineering and manufacturing company historically known for producing heavy machinery, locomotives, and military vehicles.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24610908c8190921e507dcb4d8250 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c48e5c8190a387a4158362417a |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0018be4b8c8190b68001465b9af949 |
completed | May 10, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00198af20c819087cfa7d01b3afdec |
completed | May 10, 2026, 5:37 a.m. |
Created at: April 10, 2026, 5:05 a.m.