Triple
T16568636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mopti Region |
E402527
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ténenkou
Ténenkou is a town and administrative center in central Mali, situated within the Mopti Region.
|
E1222800
|
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: Ténenkou | Statement: [Mopti Region, contains, Ténenkou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ténenkou Context triple: [Mopti Region, contains, Ténenkou]
-
A.
Tankara
Tankara is a town in the Morbi district of Gujarat, India, known as the birthplace of the social reformer Swaminarayan.
-
B.
Koulamoutou
Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
-
C.
Tagakaolo
Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
-
D.
Tissi
Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
-
E.
N’Guigmi
N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
- 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: Ténenkou Triple: [Mopti Region, contains, Ténenkou]
Generated description
Ténenkou is a town and administrative center in central Mali, situated within the Mopti Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ténenkou Target entity description: Ténenkou is a town and administrative center in central Mali, situated within the Mopti Region.
-
A.
Tankara
Tankara is a town in the Morbi district of Gujarat, India, known as the birthplace of the social reformer Swaminarayan.
-
B.
Koulamoutou
Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
-
C.
Tagakaolo
Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
-
D.
Tissi
Tissi is a small municipality in the Sardinia region of Italy, located in the province of Sassari.
-
E.
N’Guigmi
N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35773c00c819091731bebc02a69bb |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759424348190889dacbbc7435238 |
completed | May 10, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_6a00783334a08190ae76fd7e114a9dd6 |
completed | May 10, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0078562e788190b80a4ee27788ff69 |
completed | May 10, 2026, 12:21 p.m. |
Created at: April 10, 2026, 5:16 a.m.