Triple
T10273724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thérain |
E240905
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | fr:Thérain |
E240905
|
NE FINISHED |
How this triple was built (2 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: fr:Thérain | Statement: [Thérain, hasNameInLanguage, fr:Thérain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: fr:Thérain Context triple: [Thérain, hasNameInLanguage, fr:Thérain]
-
A.
Thérain
chosen
Thérain is a river in northern France that flows through the Oise department before joining the Oise River.
-
B.
Trévières
Trévières is a commune in the Calvados department of Normandy in northwestern France, known for its proximity to the D-Day landing beaches and its World War II history.
-
C.
La Thielle
La Thielle is the French name for the Thielle River, a waterway in western Switzerland that connects Lake Biel to Lake Neuchâtel.
-
D.
Trélazé
Trélazé is a commune in western France known historically for its slate quarries and proximity to the city of Angers.
-
E.
Monthermé
Monthermé is a commune in northeastern France’s Ardennes department, known for its scenic setting at the confluence of forested valleys and winding rivers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d288acf48190bbf14a5cb2dfe1f4 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f81b39008190af48de31de03682e |
completed | April 9, 2026, 12:51 a.m. |
Created at: April 6, 2026, 11:36 a.m.