Triple
T17600316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Saint-Affrique |
E428680
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Montlaur
Montlaur is a small rural commune in the Aveyron department of southern France, known for its traditional countryside setting within the Occitanie region.
|
E1278269
|
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: Montlaur | Statement: [canton of Saint-Affrique, contains, Montlaur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montlaur Context triple: [canton of Saint-Affrique, contains, Montlaur]
-
A.
Muntelier
Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
-
B.
Montlignon
Montlignon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
C.
Montauroux
Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
-
D.
Montegnée
Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
-
E.
Montbarla
Montbarla is a small commune in the Tarn-et-Garonne department in southern France.
- 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: Montlaur Triple: [canton of Saint-Affrique, contains, Montlaur]
Generated description
Montlaur is a small rural commune in the Aveyron department of southern France, known for its traditional countryside setting within the Occitanie region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montlaur Target entity description: Montlaur is a small rural commune in the Aveyron department of southern France, known for its traditional countryside setting within the Occitanie region.
-
A.
Muntelier
Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
-
B.
Montlignon
Montlignon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
C.
Montauroux
Montauroux is a picturesque commune in southeastern France’s Var department, known for its hilltop setting overlooking the Pays de Fayence and proximity to the French Riviera.
-
D.
Montegnée
Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
-
E.
Montbarla
Montbarla is a small commune in the Tarn-et-Garonne department in southern France.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4812d48190bf8e899fa8f7fbe4 |
completed | April 19, 2026, 5:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e81b951c81908969e6d2f952efc4 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01ef0a9fb48190ac9d38f027ceb728 |
completed | May 11, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ef87c62c8190b9a3cd936542d7b4 |
completed | May 11, 2026, 3:02 p.m. |
Created at: April 10, 2026, 5:51 a.m.