Triple
T11770558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eskdale |
E279884
|
entity |
| Predicate | watercourse |
P415
|
FINISHED |
| Object |
White Esk
White Esk is a river in Dumfries and Galloway, Scotland, that forms part of the headwaters of the River Esk.
|
E945738
|
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: White Esk | Statement: [Eskdale, watercourse, White Esk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Esk Context triple: [Eskdale, watercourse, White Esk]
-
A.
Bianco
Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
-
B.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
-
C.
Witte
Witte is a surname most notably associated with Edwin E. Witte, an American economist often called the “father of Social Security” for his key role in shaping U.S. social welfare policy.
-
D.
Holzweißig
Holzweißig is a former municipality in Saxony-Anhalt, Germany, that now forms part of the industrial town of Bitterfeld-Wolfen.
-
E.
Branca
Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
- 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: White Esk Triple: [Eskdale, watercourse, White Esk]
Generated description
White Esk is a river in Dumfries and Galloway, Scotland, that forms part of the headwaters of the River Esk.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: White Esk Target entity description: White Esk is a river in Dumfries and Galloway, Scotland, that forms part of the headwaters of the River Esk.
-
A.
Bianco
Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
-
B.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
-
C.
Witte
Witte is a surname most notably associated with Edwin E. Witte, an American economist often called the “father of Social Security” for his key role in shaping U.S. social welfare policy.
-
D.
Holzweißig
Holzweißig is a former municipality in Saxony-Anhalt, Germany, that now forms part of the industrial town of Bitterfeld-Wolfen.
-
E.
Branca
Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a55c9f988190b203b66a28c767ae |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09086c4ec81908bc8b707a49c3ac2 |
completed | April 28, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69f0bd3cf8308190813003daa8cfba4a |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef02c930819086d139834ad4ed84 |
completed | April 28, 2026, 5:31 p.m. |
Created at: April 8, 2026, 9:41 p.m.