Triple
T16486495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falémé River |
E400457
|
entity |
| Predicate | confluenceNear |
P8203
|
FINISHED |
| Object |
Kidira
Kidira is a town in eastern Senegal near the Malian border that serves as an important road and rail crossing point between the two countries.
|
E1216133
|
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: Kidira | Statement: [Falémé River, confluenceNear, Kidira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kidira Context triple: [Falémé River, confluenceNear, Kidira]
-
A.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
B.
Mubaira
Mubaira is a small town located in the Mashonaland West Province of northern Zimbabwe.
-
C.
Makeda
"Makeda" is a popular neo-soul/R&B song by the French duo Les Nubians, known for its smooth harmonies and Afrocentric themes.
-
D.
Kirsha
Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
-
E.
Adailiya
Adailiya is a residential district in Kuwait City known for its embassies, sports facilities, and central location within the capital.
- 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: Kidira Triple: [Falémé River, confluenceNear, Kidira]
Generated description
Kidira is a town in eastern Senegal near the Malian border that serves as an important road and rail crossing point between the two countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kidira Target entity description: Kidira is a town in eastern Senegal near the Malian border that serves as an important road and rail crossing point between the two countries.
-
A.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
B.
Mubaira
Mubaira is a small town located in the Mashonaland West Province of northern Zimbabwe.
-
C.
Makeda
"Makeda" is a popular neo-soul/R&B song by the French duo Les Nubians, known for its smooth harmonies and Afrocentric themes.
-
D.
Kirsha
Kirsha is a central character in Naguib Mahfouz’s novel "Midaq Alley," known as the café owner whose personal life and hidden desires reflect the social and moral tensions of mid-20th-century Cairo.
-
E.
Adailiya
Adailiya is a residential district in Kuwait City known for its embassies, sports facilities, and central location within the capital.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e078d0c8190a5698a5eb9df22d4 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582275308190a0fb3944d74916cf |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0058a1c51c81908f49db448a4d0365 |
completed | May 10, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00595837c4819093f1a1a35185bc4b |
completed | May 10, 2026, 10:09 a.m. |
Created at: April 10, 2026, 5:13 a.m.