Triple
T15505500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée du Tarn |
E379069
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Mostuéjouls
Mostuéjouls is a small picturesque village in southern France, known for its scenic setting in the Tarn valley and proximity to the Gorges du Tarn.
|
E1159950
|
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: Mostuéjouls | Statement: [Vallée du Tarn, hasVillage, Mostuéjouls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mostuéjouls Context triple: [Vallée du Tarn, hasVillage, Mostuéjouls]
-
A.
Moncaup
Moncaup is a small commune in southwestern France located within the administrative boundaries of the canton of Saint-Gaudens.
-
B.
Échenevex
Échenevex is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
-
C.
Longjumeau
Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
-
D.
Gave d’Ossau
Gave d’Ossau is a mountain river in the French Pyrenees that drains the Ossau Valley and contributes to the Gave de Pau watershed.
-
E.
Serre Chevalier
Serre Chevalier is a major ski resort in the French Alps known for its extensive slopes, sunny climate, and traditional mountain villages.
- 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: Mostuéjouls Triple: [Vallée du Tarn, hasVillage, Mostuéjouls]
Generated description
Mostuéjouls is a small picturesque village in southern France, known for its scenic setting in the Tarn valley and proximity to the Gorges du Tarn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mostuéjouls Target entity description: Mostuéjouls is a small picturesque village in southern France, known for its scenic setting in the Tarn valley and proximity to the Gorges du Tarn.
-
A.
Moncaup
Moncaup is a small commune in southwestern France located within the administrative boundaries of the canton of Saint-Gaudens.
-
B.
Échenevex
Échenevex is a small French commune in the Ain department of eastern France, near the Swiss border and the city of Geneva.
-
C.
Longjumeau
Longjumeau is a suburban commune in the southern outskirts of Paris, France, known for its residential character and proximity to major transport routes.
-
D.
Gave d’Ossau
Gave d’Ossau is a mountain river in the French Pyrenees that drains the Ossau Valley and contributes to the Gave de Pau watershed.
-
E.
Serre Chevalier
Serre Chevalier is a major ski resort in the French Alps known for its extensive slopes, sunny climate, and traditional mountain villages.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcd5d948190b25a67a72ef980e9 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff366bd31c81909e21075b6b601448 |
completed | May 9, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ff371416e08190a84b2be7b7dbc4a3 |
completed | May 9, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff379cc22881909e8a3e189d3f98d1 |
completed | May 9, 2026, 1:33 p.m. |
Created at: April 10, 2026, 3:55 a.m.