Triple
T3498196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpes-Maritimes |
E73900
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object |
Siagne
The Siagne is a river in southeastern France that flows through the Alpes-Maritimes and Var departments before emptying into the Mediterranean Sea.
|
E362754
|
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: Siagne | Statement: [Alpes-Maritimes, containsRiver, Siagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siagne Context triple: [Alpes-Maritimes, containsRiver, Siagne]
-
A.
Sion
Sion is a historic Swiss town in the canton of Valais, known for its hilltop castles, vineyards, and role as a regional cultural and administrative center.
-
B.
Senne
The Senne is a small river flowing through Brussels, Belgium, much of which has been covered over as the city developed.
-
C.
Singine
Singine is a river in western Switzerland that flows through the canton of Fribourg and serves as part of the linguistic boundary between French- and German-speaking regions.
-
D.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
-
E.
Sinegal
Sinegal is a surname most notably associated with James Sinegal, the co-founder and longtime CEO of Costco Wholesale Corporation.
- 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: Siagne Triple: [Alpes-Maritimes, containsRiver, Siagne]
Generated description
The Siagne is a river in southeastern France that flows through the Alpes-Maritimes and Var departments before emptying into the Mediterranean Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siagne Target entity description: The Siagne is a river in southeastern France that flows through the Alpes-Maritimes and Var departments before emptying into the Mediterranean Sea.
-
A.
Sion
Sion is a historic Swiss town in the canton of Valais, known for its hilltop castles, vineyards, and role as a regional cultural and administrative center.
-
B.
Senne
The Senne is a small river flowing through Brussels, Belgium, much of which has been covered over as the city developed.
-
C.
Singine
Singine is a river in western Switzerland that flows through the canton of Fribourg and serves as part of the linguistic boundary between French- and German-speaking regions.
-
D.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
-
E.
Sinegal
Sinegal is a surname most notably associated with James Sinegal, the co-founder and longtime CEO of Costco Wholesale Corporation.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd299ec8190b76b165b2fd70537 |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373d011c0819088245afe03be3c44 |
completed | March 13, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69b3745c7304819085a47af79cd738c0 |
completed | March 13, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b374f5999c8190ae48570a412dc6dc |
completed | March 13, 2026, 2:22 a.m. |
Created at: March 8, 2026, 3:18 p.m.