Triple
T14556102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilaine |
E341545
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object |
Seiche
The Seiche is a river in western France that flows through the Brittany region before joining the Vilaine.
|
E1105967
|
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: Seiche | Statement: [Vilaine, tributary, Seiche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seiche Context triple: [Vilaine, tributary, Seiche]
-
A.
Federsee
Federsee is a shallow lake in southern Germany renowned for its extensive wetlands, rich birdlife, and prehistoric pile-dwelling archaeological sites.
-
B.
Vedder
Vedder is a surname most notably associated with Elihu Vedder, an American symbolist painter, book illustrator, and muralist active in the late 19th and early 20th centuries.
-
C.
Pont Samson
Pont Samson is a bridge spanning the Saint-Charles River, serving as part of the local transportation infrastructure in its surrounding area.
-
D.
Seevetal
Seevetal is a large municipality in Lower Saxony, Germany, located just south of Hamburg and known for its suburban character and good transport connections.
-
E.
Bouchet
Bouchet is a surname most notably associated with Edward Alexander Bouchet, one of the first African Americans to earn a Ph.D. in the United States.
- 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: Seiche Triple: [Vilaine, tributary, Seiche]
Generated description
The Seiche is a river in western France that flows through the Brittany region before joining the Vilaine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seiche Target entity description: The Seiche is a river in western France that flows through the Brittany region before joining the Vilaine.
-
A.
Federsee
Federsee is a shallow lake in southern Germany renowned for its extensive wetlands, rich birdlife, and prehistoric pile-dwelling archaeological sites.
-
B.
Vedder
Vedder is a surname most notably associated with Elihu Vedder, an American symbolist painter, book illustrator, and muralist active in the late 19th and early 20th centuries.
-
C.
Pont Samson
Pont Samson is a bridge spanning the Saint-Charles River, serving as part of the local transportation infrastructure in its surrounding area.
-
D.
Seevetal
Seevetal is a large municipality in Lower Saxony, Germany, located just south of Hamburg and known for its suburban character and good transport connections.
-
E.
Bouchet
Bouchet is a surname most notably associated with Edward Alexander Bouchet, one of the first African Americans to earn a Ph.D. in the United States.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f1490881908673f429e5288c86 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8abde0308190819da6867e703ea7 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8bb3c1188190b158d30e9c962911 |
completed | May 8, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8c6e7d448190835f87e27c998623 |
completed | May 8, 2026, 7:10 a.m. |
Created at: April 10, 2026, 1:23 a.m.