Triple
T16661179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | northCoastOfMadeira |
E404861
|
entity |
| Predicate | hasClimateInfluence |
P3009
|
FINISHED |
| Object |
GulfStream
GulfStream is a powerful, warm Atlantic Ocean current that significantly influences the climate of adjacent coastal regions in Europe and North America.
|
E1226570
|
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: GulfStream | Statement: [northCoastOfMadeira, hasClimateInfluence, GulfStream]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GulfStream Context triple: [northCoastOfMadeira, hasClimateInfluence, GulfStream]
-
A.
Sealink
Sealink was a major British ferry company that operated passenger and vehicle services across the Irish Sea and English Channel during the 20th century.
-
B.
Nautica
Nautica is an American lifestyle brand best known for its nautical-inspired apparel and accessories.
-
C.
Greenline
Greenline is a popular multi-use recreational trail associated with Shelby Farms Park in the Memphis, Tennessee area, used for walking, running, and cycling.
-
D.
Shearwater
Shearwater is a coastal township in northern Tasmania, Australia, known for its beaches, holiday accommodation, and proximity to the Rubicon Estuary.
-
E.
Ocean Hou
Ocean Hou is an actor known for appearing in the martial arts action film "The Man with the Iron Fists 2."
- 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: GulfStream Triple: [northCoastOfMadeira, hasClimateInfluence, GulfStream]
Generated description
GulfStream is a powerful, warm Atlantic Ocean current that significantly influences the climate of adjacent coastal regions in Europe and North America.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GulfStream Target entity description: GulfStream is a powerful, warm Atlantic Ocean current that significantly influences the climate of adjacent coastal regions in Europe and North America.
-
A.
Sealink
Sealink was a major British ferry company that operated passenger and vehicle services across the Irish Sea and English Channel during the 20th century.
-
B.
Nautica
Nautica is an American lifestyle brand best known for its nautical-inspired apparel and accessories.
-
C.
Greenline
Greenline is a popular multi-use recreational trail associated with Shelby Farms Park in the Memphis, Tennessee area, used for walking, running, and cycling.
-
D.
Shearwater
Shearwater is a coastal township in northern Tasmania, Australia, known for its beaches, holiday accommodation, and proximity to the Rubicon Estuary.
-
E.
Ocean Hou
Ocean Hou is an actor known for appearing in the martial arts action film "The Man with the Iron Fists 2."
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfee5448190bb44c4dadba5dcbd |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084ce7cf0819091e7a4de2cc010ea |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a00862fe04481908bc114001357aea9 |
completed | May 10, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00879d9f948190bdf40ff7be2505ff |
completed | May 10, 2026, 1:26 p.m. |
Created at: April 10, 2026, 5:18 a.m.