Triple
T16201097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pornic |
E393199
|
entity |
| Predicate | hasMarina |
P3007
|
FINISHED |
| Object |
Pornic marina
Pornic marina is a coastal harbor and leisure port in the town of Pornic on France’s Atlantic coast, serving recreational boats and supporting local tourism.
|
E1199582
|
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: Pornic marina | Statement: [Pornic, hasMarina, Pornic marina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pornic marina Context triple: [Pornic, hasMarina, Pornic marina]
-
A.
Sulina Beach
Sulina Beach is a tranquil stretch of sand on Romania’s Black Sea coast near the Danube Delta, known for its remote, unspoiled nature and quiet seaside atmosphere.
-
B.
Praia a Mare
Praia a Mare is a coastal town and popular seaside resort in the Calabria region of southern Italy, known for its beaches and views of Dino Island.
-
C.
Eforie
Eforie is a Romanian Black Sea resort town known for its beaches and therapeutic mud treatments.
-
D.
Port of Brăila
The Port of Brăila is a major Romanian river port on the Danube, serving as an important hub for regional trade and transportation.
-
E.
Mangalia Port
Mangalia Port is a Romanian Black Sea harbor serving as a commercial, fishing, and shipbuilding port near the country’s southeastern coast.
- 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: Pornic marina Triple: [Pornic, hasMarina, Pornic marina]
Generated description
Pornic marina is a coastal harbor and leisure port in the town of Pornic on France’s Atlantic coast, serving recreational boats and supporting local tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pornic marina Target entity description: Pornic marina is a coastal harbor and leisure port in the town of Pornic on France’s Atlantic coast, serving recreational boats and supporting local tourism.
-
A.
Sulina Beach
Sulina Beach is a tranquil stretch of sand on Romania’s Black Sea coast near the Danube Delta, known for its remote, unspoiled nature and quiet seaside atmosphere.
-
B.
Praia a Mare
Praia a Mare is a coastal town and popular seaside resort in the Calabria region of southern Italy, known for its beaches and views of Dino Island.
-
C.
Eforie
Eforie is a Romanian Black Sea resort town known for its beaches and therapeutic mud treatments.
-
D.
Port of Brăila
The Port of Brăila is a major Romanian river port on the Danube, serving as an important hub for regional trade and transportation.
-
E.
Mangalia Port
Mangalia Port is a Romanian Black Sea harbor serving as a commercial, fishing, and shipbuilding port near the country’s southeastern coast.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270aa7f08190ab37aa9ff46816fc |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff130bcc8190a965d90e123d2dd9 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a000066aa8c819088014d3f03b0e8cc |
completed | May 10, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00012ec15c8190a09e1b37bc560f67 |
completed | May 10, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:03 a.m.