Triple
T581478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan de Fuca Ridge |
E15067
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Cobb Offset
Cobb Offset is a major transform fault system in the northeast Pacific Ocean that offsets segments of the Juan de Fuca Ridge.
|
E73002
|
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: Cobb Offset | Statement: [Juan de Fuca Ridge, connectsTo, Cobb Offset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobb Offset Context triple: [Juan de Fuca Ridge, connectsTo, Cobb Offset]
-
A.
The Diesel
The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
-
B.
Gage
Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
-
C.
The Ultimate Driving Machine
The Ultimate Driving Machine is the iconic marketing slogan used by BMW to emphasize its focus on performance-oriented, premium driving experiences.
-
D.
Loscutoff
Loscutoff is the surname of former Boston Celtics forward Jim Loscutoff, whose number 18 was retired by the team in his honor.
-
E.
Camm
Camm is a surname most notably associated with Sir Sydney Camm, the influential British aircraft designer behind the Hawker Hurricane.
- 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: Cobb Offset Triple: [Juan de Fuca Ridge, connectsTo, Cobb Offset]
Generated description
Cobb Offset is a major transform fault system in the northeast Pacific Ocean that offsets segments of the Juan de Fuca Ridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cobb Offset Target entity description: Cobb Offset is a major transform fault system in the northeast Pacific Ocean that offsets segments of the Juan de Fuca Ridge.
-
A.
The Diesel
The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
-
B.
Gage
Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
-
C.
The Ultimate Driving Machine
The Ultimate Driving Machine is the iconic marketing slogan used by BMW to emphasize its focus on performance-oriented, premium driving experiences.
-
D.
Loscutoff
Loscutoff is the surname of former Boston Celtics forward Jim Loscutoff, whose number 18 was retired by the team in his honor.
-
E.
Camm
Camm is a surname most notably associated with Sir Sydney Camm, the influential British aircraft designer behind the Hawker Hurricane.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b84899881909d5b2b4e67e22d9b |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a508a025308190ac35a5e3606de4de |
completed | March 2, 2026, 3:48 a.m. |
| NEDg | Description generation | batch_69a5090f5450819098324292a444fd94 |
completed | March 2, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a509facafc819089838e0724656ea0 |
completed | March 2, 2026, 3:54 a.m. |
Created at: March 1, 2026, 7:33 p.m.