Triple
T2154413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oise |
E47853
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Nonette
Nonette is a small river in northern France that flows through the Oise department and serves as one of its tributaries.
|
E240907
|
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: Nonette | Statement: [Oise, hasTributary, Nonette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nonette Context triple: [Oise, hasTributary, Nonette]
-
A.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
B.
Blanchette
Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
-
C.
Esteli
Estelí is a city in northern Nicaragua known as a regional commercial center and a hub for the country’s cigar and tobacco industry.
-
D.
Nikkiya
Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
-
E.
Eleanora
Eleanora is the birth name of legendary American jazz singer Billie Holiday, renowned for her emotive voice and influential recordings.
- 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: Nonette Triple: [Oise, hasTributary, Nonette]
Generated description
Nonette is a small river in northern France that flows through the Oise department and serves as one of its tributaries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nonette Target entity description: Nonette is a small river in northern France that flows through the Oise department and serves as one of its tributaries.
-
A.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
B.
Blanchette
Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
-
C.
Esteli
Estelí is a city in northern Nicaragua known as a regional commercial center and a hub for the country’s cigar and tobacco industry.
-
D.
Nikkiya
Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
-
E.
Eleanora
Eleanora is the birth name of legendary American jazz singer Billie Holiday, renowned for her emotive voice and influential recordings.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe64fdf081909a5ea6818bddd18c |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58e32814819096d479ac6b5d241d |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae5afaf004819099fc04b7ac8135cd |
completed | March 9, 2026, 5:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5b507150819089727a6e66d656b7 |
completed | March 9, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:44 p.m.