Triple
T13436811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lannion |
E320250
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Léguer
The Léguer is a river in the Côtes-d'Armor department of Brittany in northwestern France, known for flowing through the town of Lannion and its scenic, natural landscapes.
|
E1041714
|
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: Léguer | Statement: [Lannion, locatedOnRiver, Léguer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Léguer Context triple: [Lannion, locatedOnRiver, Léguer]
-
A.
Lemerig
Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
-
B.
Gensonné
Gensonné is a French surname most notably associated with Armand Gensonné, a prominent Girondin politician during the French Revolution.
-
C.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
D.
Gavisse
Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
-
E.
Levasy
Levasy is a small city located in Jackson County in the U.S. state of Missouri.
- 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: Léguer Triple: [Lannion, locatedOnRiver, Léguer]
Generated description
The Léguer is a river in the Côtes-d'Armor department of Brittany in northwestern France, known for flowing through the town of Lannion and its scenic, natural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Léguer Target entity description: The Léguer is a river in the Côtes-d'Armor department of Brittany in northwestern France, known for flowing through the town of Lannion and its scenic, natural landscapes.
-
A.
Lemerig
Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
-
B.
Gensonné
Gensonné is a French surname most notably associated with Armand Gensonné, a prominent Girondin politician during the French Revolution.
-
C.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
D.
Gavisse
Gavisse is a small commune in northeastern France, located in the Moselle department near the border with Luxembourg and Germany.
-
E.
Levasy
Levasy is a small city located in Jackson County in the U.S. state of Missouri.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee42a8c8190a85716b4a6db335e |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739902d148190ac14ac66f1f9512f |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73d6051e48190a39e8de98bfb839a |
completed | May 3, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7411fbb9481908f0106b01f2583bf |
completed | May 3, 2026, 12:35 p.m. |
Created at: April 9, 2026, 9:40 p.m.