Triple
T15161234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laval |
E362220
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Lavallois
Lavallois is the French demonym for inhabitants of the city of Laval, particularly in the Mayenne department of northwestern France.
|
E1180759
|
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: Lavallois | Statement: [Laval, hasDemonym, Lavallois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lavallois Context triple: [Laval, hasDemonym, Lavallois]
-
A.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
B.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
C.
Livarot
Livarot is a small town in the Normandy region of northwestern France, historically known for its production of the pungent Livarot cheese.
-
D.
Léchelles
Léchelles is a village and former municipality in the canton of Fribourg in western Switzerland.
-
E.
Noailles
Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
- 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: Lavallois Triple: [Laval, hasDemonym, Lavallois]
Generated description
Lavallois is the French demonym for inhabitants of the city of Laval, particularly in the Mayenne department of northwestern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lavallois Target entity description: Lavallois is the French demonym for inhabitants of the city of Laval, particularly in the Mayenne department of northwestern France.
-
A.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
B.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
C.
Livarot
Livarot is a small town in the Normandy region of northwestern France, historically known for its production of the pungent Livarot cheese.
-
D.
Léchelles
Léchelles is a village and former municipality in the canton of Fribourg in western Switzerland.
-
E.
Noailles
Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060f2efc8190aa0eb5fb8d4ce085 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa92b99c48190b76e1306cf32a568 |
completed | May 9, 2026, 9:37 p.m. |
| NEDg | Description generation | batch_69ffa9a8a8f48190bdeed1cb7143245d |
completed | May 9, 2026, 9:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaa0b3750819096340bda8a7cf8f5 |
completed | May 9, 2026, 9:41 p.m. |
Created at: April 10, 2026, 3:08 a.m.