Triple
T4715917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thielle River |
E104637
|
entity |
| Predicate | hasNameInFrench |
P6538
|
FINISHED |
| Object |
La Thielle
La Thielle is the French name for the Thielle River, a waterway in western Switzerland that connects Lake Biel to Lake Neuchâtel.
|
E485903
|
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: La Thielle | Statement: [Thielle River, hasNameInFrench, La Thielle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Thielle Context triple: [Thielle River, hasNameInFrench, La Thielle]
-
A.
Nantouillet
Nantouillet is a small rural commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
-
B.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
C.
L’Arbresle
L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
-
D.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
-
E.
Trépail
Trépail is a wine-producing village in northeastern France’s Champagne region, noted for its Chardonnay vineyards on the slopes of the Montagne de Reims.
- 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: La Thielle Triple: [Thielle River, hasNameInFrench, La Thielle]
Generated description
La Thielle is the French name for the Thielle River, a waterway in western Switzerland that connects Lake Biel to Lake Neuchâtel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Thielle Target entity description: La Thielle is the French name for the Thielle River, a waterway in western Switzerland that connects Lake Biel to Lake Neuchâtel.
-
A.
Nantouillet
Nantouillet is a small rural commune in the Seine-et-Marne department in the Île-de-France region of north-central France.
-
B.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
C.
L’Arbresle
L’Arbresle is a small commune in eastern France’s Auvergne-Rhône-Alpes region, known for its historic town center and proximity to Lyon.
-
D.
Brière
Brière is a French-language surname most prominently associated with former NHL player and current hockey executive Daniel Brière.
-
E.
Trépail
Trépail is a wine-producing village in northeastern France’s Champagne region, noted for its Chardonnay vineyards on the slopes of the Montagne de Reims.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd640a32ec8190850146957885c3cf |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be922a8fc08190ad2dd4ffc1697f08 |
completed | March 21, 2026, 12:42 p.m. |
| NEDg | Description generation | batch_69be92da1bc08190a105ec9d3bcf6e9d |
completed | March 21, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be933087f481908d59086772040405 |
completed | March 21, 2026, 12:46 p.m. |
Created at: March 20, 2026, 1:18 p.m.