Triple
T5604890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buchan |
E147209
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Mintlaw
Mintlaw is a village in Aberdeenshire, Scotland, known as a local service and administrative centre for the surrounding rural area.
|
E529873
|
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: Mintlaw | Statement: [Buchan, containsSettlement, Mintlaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mintlaw Context triple: [Buchan, containsSettlement, Mintlaw]
-
A.
Greenlaw
Greenlaw is a small historic town in the Scottish Borders that once served as the county town of Berwickshire.
-
B.
Lux et Lex
Lux et Lex is the Latin motto of the University of North Dakota, traditionally interpreted as “Light and Law.”
-
C.
Sweet & Maxwell
Sweet & Maxwell is a prominent UK-based legal publisher known for producing authoritative law books, journals, and online legal information services.
-
D.
Notman Law
Notman Law is a notable geographical feature located within the Tweedsmuir Hills of southern Scotland.
-
E.
Martindale
Martindale is a remote, scenic valley in the Lake District of Cumbria, England, known for its rugged fells, red deer herd, and tranquil walking 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: Mintlaw Triple: [Buchan, containsSettlement, Mintlaw]
Generated description
Mintlaw is a village in Aberdeenshire, Scotland, known as a local service and administrative centre for the surrounding rural area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mintlaw Target entity description: Mintlaw is a village in Aberdeenshire, Scotland, known as a local service and administrative centre for the surrounding rural area.
-
A.
Greenlaw
Greenlaw is a small historic town in the Scottish Borders that once served as the county town of Berwickshire.
-
B.
Lux et Lex
Lux et Lex is the Latin motto of the University of North Dakota, traditionally interpreted as “Light and Law.”
-
C.
Sweet & Maxwell
Sweet & Maxwell is a prominent UK-based legal publisher known for producing authoritative law books, journals, and online legal information services.
-
D.
Notman Law
Notman Law is a notable geographical feature located within the Tweedsmuir Hills of southern Scotland.
-
E.
Martindale
Martindale is a remote, scenic valley in the Lake District of Cumbria, England, known for its rugged fells, red deer herd, and tranquil walking 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020f9408481908cf006074c726301 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287649cc8190ae356790dd993973 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c0350fdfec8190ad721167cde82a37 |
completed | March 22, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0358474c88190a8a0fa209fbc6ddf |
completed | March 22, 2026, 6:31 p.m. |
Created at: March 22, 2026, 3:39 p.m.