Triple
T9094957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lez River |
E217992
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Lez (French)
Lez (French) is the French name of the Lez River, a watercourse in southern France that flows through the city of Montpellier before reaching the Mediterranean Sea.
|
E777795
|
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: Lez (French) | Statement: [Lez River, hasNameInLanguage, Lez (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lez (French) Context triple: [Lez River, hasNameInLanguage, Lez (French)]
-
A.
Jean (French)
Jean is the standard French given name equivalent to the English name John, widely used for men in French-speaking countries.
-
B.
Alain (French)
Alain is the French given name equivalent to the English name Alan, commonly used for males in French-speaking countries.
-
C.
David (French)
David (French) is the French form of the given name "David," commonly used in French-speaking countries and derived from the Hebrew name meaning "beloved."
-
D.
Tessin (French)
Tessin is the French name for the Swiss canton of Ticino, an Italian-speaking region in southern Switzerland.
-
E.
Sarre (French)
Sarre is the French name for the Saar region of western Germany, historically known for its coal industry and strategic location along the French-German border.
- 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: Lez (French) Triple: [Lez River, hasNameInLanguage, Lez (French)]
Generated description
Lez (French) is the French name of the Lez River, a watercourse in southern France that flows through the city of Montpellier before reaching the Mediterranean Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lez (French) Target entity description: Lez (French) is the French name of the Lez River, a watercourse in southern France that flows through the city of Montpellier before reaching the Mediterranean Sea.
-
A.
Jean (French)
Jean is the standard French given name equivalent to the English name John, widely used for men in French-speaking countries.
-
B.
Alain (French)
Alain is the French given name equivalent to the English name Alan, commonly used for males in French-speaking countries.
-
C.
David (French)
David (French) is the French form of the given name "David," commonly used in French-speaking countries and derived from the Hebrew name meaning "beloved."
-
D.
Tessin (French)
Tessin is the French name for the Swiss canton of Ticino, an Italian-speaking region in southern Switzerland.
-
E.
Sarre (French)
Sarre is the French name for the Saar region of western Germany, historically known for its coal industry and strategic location along the French-German border.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b4a2e0819092f4eae8b1d21f33 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0180f70b88190a2d3dc49f32f0c2e |
completed | April 3, 2026, 7:42 p.m. |
| NEDg | Description generation | batch_69d019652fe8819096cccb8cff431261 |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d01a290de881909482b7eb70bef0e3 |
completed | April 3, 2026, 7:51 p.m. |
Created at: March 30, 2026, 7:14 p.m.