Triple
T12864580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sambians |
E307682
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Amber Coast
Amber Coast is a historic Baltic Sea shoreline region famed for its abundant amber deposits and long-standing role in amber trade.
|
E1006949
|
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: Amber Coast | Statement: [Sambians, associatedWith, Amber Coast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amber Coast Context triple: [Sambians, associatedWith, Amber Coast]
-
A.
Opal Coast
The Opal Coast is a scenic stretch of northern French shoreline along the English Channel, known for its dramatic cliffs, sandy beaches, and seaside resorts.
-
B.
Copper Coast
Copper Coast is a scenic stretch of coastline in County Waterford, Ireland, renowned for its rugged cliffs, sandy coves, and rich mining and geological heritage.
-
C.
Coral Coast
Coral Coast is a popular stretch of Fiji’s southern coastline known for its beaches, coral reefs, and resort tourism.
-
D.
Arcadins Coast
Arcadins Coast is a popular coastal tourist area in Haiti known for its beaches, resorts, and seaside attractions.
-
E.
Dolphin Coast
Dolphin Coast is a major Georgia Aquarium exhibit featuring bottlenose dolphins in a large, interactive marine habitat with educational presentations and shows.
- 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: Amber Coast Triple: [Sambians, associatedWith, Amber Coast]
Generated description
Amber Coast is a historic Baltic Sea shoreline region famed for its abundant amber deposits and long-standing role in amber trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amber Coast Target entity description: Amber Coast is a historic Baltic Sea shoreline region famed for its abundant amber deposits and long-standing role in amber trade.
-
A.
Opal Coast
The Opal Coast is a scenic stretch of northern French shoreline along the English Channel, known for its dramatic cliffs, sandy beaches, and seaside resorts.
-
B.
Copper Coast
Copper Coast is a scenic stretch of coastline in County Waterford, Ireland, renowned for its rugged cliffs, sandy coves, and rich mining and geological heritage.
-
C.
Coral Coast
Coral Coast is a popular stretch of Fiji’s southern coastline known for its beaches, coral reefs, and resort tourism.
-
D.
Arcadins Coast
Arcadins Coast is a popular coastal tourist area in Haiti known for its beaches, resorts, and seaside attractions.
-
E.
Dolphin Coast
Dolphin Coast is a major Georgia Aquarium exhibit featuring bottlenose dolphins in a large, interactive marine habitat with educational presentations and shows.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708cf6b48190886a99e04d85d348 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb092b88190b159f1d79156cf86 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d7984d48190adf5409a1ac7346a |
completed | May 3, 2026, 12:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69e2abc38819095ff4977f2df9b2b |
completed | May 3, 2026, 1 a.m. |
Created at: April 9, 2026, 5:37 p.m.