Triple
T9684344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glâne District |
E234366
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Chapelle (Glâne)
Chapelle (Glâne) is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
|
E815271
|
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: Chapelle (Glâne) | Statement: [Glâne District, containsMunicipality, Chapelle (Glâne)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chapelle (Glâne) Context triple: [Glâne District, containsMunicipality, Chapelle (Glâne)]
-
A.
Scy-Chazelles
Scy-Chazelles is a commune in northeastern France best known as the longtime residence and burial place of European statesman Robert Schuman.
-
B.
La Chapelle
La Chapelle is a neighborhood in northern Paris known for its multicultural character, bustling streets, and proximity to major transport hubs like Gare du Nord.
-
C.
Glâne
Glâne is a river in western Switzerland that flows through the canton of Fribourg before joining the Broye River.
-
D.
Chasseral
Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
-
E.
Gueugnon
Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
- 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: Chapelle (Glâne) Triple: [Glâne District, containsMunicipality, Chapelle (Glâne)]
Generated description
Chapelle (Glâne) is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chapelle (Glâne) Target entity description: Chapelle (Glâne) is a small municipality in the Glâne District of the canton of Fribourg in western Switzerland.
-
A.
Scy-Chazelles
Scy-Chazelles is a commune in northeastern France best known as the longtime residence and burial place of European statesman Robert Schuman.
-
B.
La Chapelle
La Chapelle is a neighborhood in northern Paris known for its multicultural character, bustling streets, and proximity to major transport hubs like Gare du Nord.
-
C.
Glâne
Glâne is a river in western Switzerland that flows through the canton of Fribourg before joining the Broye River.
-
D.
Chasseral
Chasseral is a prominent mountain in the Jura range of western Switzerland, known for its panoramic views and telecommunications installations.
-
E.
Gueugnon
Gueugnon is a small commune in eastern France known historically for its steel industry and location in the Bourgogne-Franche-Comté region.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ccf21a08190a1302b933b9e50be |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19106e67881909505287620d2f781 |
completed | April 4, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d19375fd8481909620e8e68d73ec17 |
completed | April 4, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d19416efd48190865d0178e5e893fa |
completed | April 4, 2026, 10:43 p.m. |
Created at: March 30, 2026, 8:16 p.m.