Triple
T6193462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azergues River |
E138451
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Lozanne
Lozanne is a small commune in eastern France’s Rhône department, situated in a valley setting northwest of Lyon.
|
E576215
|
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: Lozanne | Statement: [Azergues River, flowsThrough, Lozanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lozanne Context triple: [Azergues River, flowsThrough, Lozanne]
-
A.
Rasoun
Rasoun is a small town in northern Jordan located within the hilly, forested region of Ajloun Governorate.
-
B.
Balzers
Balzers is a municipality in southern Liechtenstein known for its scenic Alpine setting and historic Gutenberg Castle.
-
C.
Tirole
Tirole is the surname of Jean Tirole, a prominent French economist and Nobel laureate known for his work on industrial organization and regulation.
-
D.
Aosta
Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
-
E.
Luxemburg
Luxemburg is a surname most famously associated with Rosa Luxemburg, the Marxist theorist, revolutionary socialist, and co-founder of the Spartacist League in Germany.
- 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: Lozanne Triple: [Azergues River, flowsThrough, Lozanne]
Generated description
Lozanne is a small commune in eastern France’s Rhône department, situated in a valley setting northwest of Lyon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lozanne Target entity description: Lozanne is a small commune in eastern France’s Rhône department, situated in a valley setting northwest of Lyon.
-
A.
Rasoun
Rasoun is a small town in northern Jordan located within the hilly, forested region of Ajloun Governorate.
-
B.
Balzers
Balzers is a municipality in southern Liechtenstein known for its scenic Alpine setting and historic Gutenberg Castle.
-
C.
Tirole
Tirole is the surname of Jean Tirole, a prominent French economist and Nobel laureate known for his work on industrial organization and regulation.
-
D.
Aosta
Aosta is a historic town in northwestern Italy known as the capital of the Aosta Valley region and for its well-preserved Roman and medieval architecture.
-
E.
Luxemburg
Luxemburg is a surname most famously associated with Rosa Luxemburg, the Marxist theorist, revolutionary socialist, and co-founder of the Spartacist League in Germany.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062431ae88190a1bf6ca91f3dc690 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f1c162081909cf34e827f1bd7d7 |
completed | March 23, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_69c1be41b0c881909aff05430b23dc71 |
completed | March 23, 2026, 10:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1bf50f6b881909e23e95d6ff0fd4d |
completed | March 23, 2026, 10:31 p.m. |
Created at: March 22, 2026, 4:19 p.m.