Triple
T3774674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Loon |
E83279
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object |
Loonse denier
The Loonse denier was a medieval silver coin used as the primary monetary unit in the County of Loon in what is now Belgium.
|
E387258
|
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: Loonse denier | Statement: [County of Loon, currency, Loonse denier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loonse denier Context triple: [County of Loon, currency, Loonse denier]
-
A.
Cotten
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
-
B.
Seaborn Cotton
Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
-
C.
Loden
Loden is a surname most notably associated with Barbara Loden, the American actress and filmmaker known for her groundbreaking independent film "Wanda."
-
D.
Dot Cotton
Dot Cotton is a long-running, iconic character from the British soap opera EastEnders, known for her devout Christian faith, chain-smoking habit, and moral yet often troubled presence in Albert Square.
-
E.
Tweed
Tweed is a state electoral district in New South Wales, Australia, encompassing the coastal region around Tweed Heads near the Queensland border.
- 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: Loonse denier Triple: [County of Loon, currency, Loonse denier]
Generated description
The Loonse denier was a medieval silver coin used as the primary monetary unit in the County of Loon in what is now Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loonse denier Target entity description: The Loonse denier was a medieval silver coin used as the primary monetary unit in the County of Loon in what is now Belgium.
-
A.
Cotten
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
-
B.
Seaborn Cotton
Seaborn Cotton was a 17th-century New England Puritan minister and the son of prominent theologian John Cotton.
-
C.
Loden
Loden is a surname most notably associated with Barbara Loden, the American actress and filmmaker known for her groundbreaking independent film "Wanda."
-
D.
Dot Cotton
Dot Cotton is a long-running, iconic character from the British soap opera EastEnders, known for her devout Christian faith, chain-smoking habit, and moral yet often troubled presence in Albert Square.
-
E.
Tweed
Tweed is a state electoral district in New South Wales, Australia, encompassing the coastal region around Tweed Heads near the Queensland border.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc594c50819099ab5ac1b82f61a6 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e52ebd988190b6e3a7d8069b74be |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e64663b881908469456b15bc2687 |
completed | March 14, 2026, 4:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4ea0de7708190abe4be1c8af3cd71 |
completed | March 14, 2026, 4:54 a.m. |
Created at: March 8, 2026, 3:36 p.m.