Triple
T17124366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guédiawaye Department |
E415552
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Sam Notaire
Sam Notaire is a settlement located in the Guédiawaye Department of the Dakar Region in western Senegal.
|
E1251253
|
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: Sam Notaire | Statement: [Guédiawaye Department, hasSettlement, Sam Notaire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Notaire Context triple: [Guédiawaye Department, hasSettlement, Sam Notaire]
-
A.
Van Robichaux
Van Robichaux is an American screenwriter best known for co-writing the comedy film "Fist Fight" and working on various television and film projects.
-
B.
Paul Tulane
Paul Tulane was a 19th-century American philanthropist best known for his major endowment that led to the establishment of Tulane University in New Orleans.
-
C.
William Francome
William Francome is a British activist and filmmaker best known for his work highlighting the case of Mumia Abu-Jamal and broader issues of criminal justice.
-
D.
Luke Titus
Luke Titus is a music producer known for his work on the project Room 25.
-
E.
Slim Gaillard
Slim Gaillard was an American jazz singer, guitarist, pianist, and songwriter known for his humorous performances, scat singing, and inventive "Vout-o-Reenee" hipster slang in the 1930s and 1940s.
- 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: Sam Notaire Triple: [Guédiawaye Department, hasSettlement, Sam Notaire]
Generated description
Sam Notaire is a settlement located in the Guédiawaye Department of the Dakar Region in western Senegal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Notaire Target entity description: Sam Notaire is a settlement located in the Guédiawaye Department of the Dakar Region in western Senegal.
-
A.
Van Robichaux
Van Robichaux is an American screenwriter best known for co-writing the comedy film "Fist Fight" and working on various television and film projects.
-
B.
Paul Tulane
Paul Tulane was a 19th-century American philanthropist best known for his major endowment that led to the establishment of Tulane University in New Orleans.
-
C.
William Francome
William Francome is a British activist and filmmaker best known for his work highlighting the case of Mumia Abu-Jamal and broader issues of criminal justice.
-
D.
Luke Titus
Luke Titus is a music producer known for his work on the project Room 25.
-
E.
Slim Gaillard
Slim Gaillard was an American jazz singer, guitarist, pianist, and songwriter known for his humorous performances, scat singing, and inventive "Vout-o-Reenee" hipster slang in the 1930s and 1940s.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f025fce481908e261f2e363e14f9 |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a12a7288190911c1be2667916c0 |
completed | May 11, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_6a013a8e69388190b8d48d70a28e99bd |
completed | May 11, 2026, 2:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b6824888190853cf36548507e1b |
completed | May 11, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:36 a.m.