Triple
T7382750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanark |
E170299
|
entity |
| Predicate | nearRiver |
P350
|
FINISHED |
| Object |
Mouse Water
Mouse Water is a small river in South Lanarkshire, Scotland, known for flowing through the town of Lanark and its surrounding countryside.
|
E659815
|
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: Mouse Water | Statement: [Lanark, nearRiver, Mouse Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mouse Water Context triple: [Lanark, nearRiver, Mouse Water]
-
A.
Mouse
"Mouse" is a short story featured in the speculative fiction collection "Smoke and Mirrors" by Neil Gaiman.
-
B.
Mause
Mause is a character in Allan Ramsay’s pastoral play "The Gentle Shepherd," typically depicted as an old, wise woman who provides comic relief and guidance.
-
C.
Rat
Rat is a friendly, boat-loving water vole who serves as one of the central animal protagonists in Kenneth Grahame’s classic children’s novel "The Wind in the Willows."
-
D.
Water Rats
Water Rats was the nickname given to the 3rd Canadian Infantry Division, renowned for its role in amphibious operations such as the D-Day landings in Normandy during World War II.
-
E.
Mouse King
The Mouse King is the villainous rodent monarch who leads an army of mice against the Nutcracker and Clara in the classic holiday ballet story.
- 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: Mouse Water Triple: [Lanark, nearRiver, Mouse Water]
Generated description
Mouse Water is a small river in South Lanarkshire, Scotland, known for flowing through the town of Lanark and its surrounding countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mouse Water Target entity description: Mouse Water is a small river in South Lanarkshire, Scotland, known for flowing through the town of Lanark and its surrounding countryside.
-
A.
Mouse
"Mouse" is a short story featured in the speculative fiction collection "Smoke and Mirrors" by Neil Gaiman.
-
B.
Mause
Mause is a character in Allan Ramsay’s pastoral play "The Gentle Shepherd," typically depicted as an old, wise woman who provides comic relief and guidance.
-
C.
Rat
Rat is a friendly, boat-loving water vole who serves as one of the central animal protagonists in Kenneth Grahame’s classic children’s novel "The Wind in the Willows."
-
D.
Water Rats
Water Rats was the nickname given to the 3rd Canadian Infantry Division, renowned for its role in amphibious operations such as the D-Day landings in Normandy during World War II.
-
E.
Mouse King
The Mouse King is the villainous rodent monarch who leads an army of mice against the Nutcracker and Clara in the classic holiday ballet story.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c9a3c48190972126c19aa31dca |
completed | March 27, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802dee7448190be1835bd822b9180 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c80362bcb88190ad8c42f520d7dd56 |
completed | March 28, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803da5e2c819098814b16d14cf837 |
completed | March 28, 2026, 4:37 p.m. |
Created at: March 27, 2026, 3:08 p.m.