Triple
T15196992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Louis Region |
E363161
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Dagana |
E1035019
|
NE FINISHED |
How this triple was built (2 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: Dagana | Statement: [Saint-Louis Region, hasMajorCity, Dagana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dagana Context triple: [Saint-Louis Region, hasMajorCity, Dagana]
-
A.
Dagana
chosen
Dagana is a historic town in the Senegal River valley that served as an important center in the former Futa Tooro region.
-
B.
Darganata
Darganata is a town in eastern Turkmenistan situated along the Amu Darya River in the Lebap Region.
-
C.
Dagaaba
The Dagaaba are an ethnic group of northwestern Ghana and neighboring Burkina Faso, known for their agrarian lifestyle, rich oral traditions, and distinctive Dagaare language.
-
D.
Damana
Damana is a rural town in Sri Lanka’s Eastern Province, known for its agricultural surroundings and location within the Ampara District.
-
E.
Nganasan
The Nganasan are an Indigenous Samoyedic people of northern Siberia, traditionally semi-nomadic reindeer hunters and fishers with a distinct Uralic language and culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3342624819087be35acadd88136 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.