Triple
T680046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prévessin-Moëns |
E13160
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Lomé district 5 |
E71688
|
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: Lomé district 5 | Statement: [Prévessin-Moëns, hasTwinTown, Lomé district 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lomé district 5 Context triple: [Prévessin-Moëns, hasTwinTown, Lomé district 5]
-
A.
Lomé
chosen
Lomé is the coastal capital and largest city of Togo, serving as a key economic and cultural hub in West Africa.
-
B.
Ouest Department
Ouest Department is an administrative region in western Haiti that includes the capital city, Port-au-Prince, and serves as the country’s political and economic center.
-
C.
Monrovia
Monrovia is the largest city and main economic and administrative center of Liberia, located on the Atlantic coast in West Africa.
-
D.
Ikorodu
Ikorodu is a rapidly growing suburban city and local government area in the northeastern part of Lagos State, Nigeria, known for its residential communities and emerging commercial activity.
-
E.
Cotonou
Cotonou is the largest city and economic hub of Benin, located on the Gulf of Guinea in West Africa.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04f4efc819082767a7517fa760a |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5c3a5701c8190810e5e52bc2b61f7 |
completed | March 2, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:36 p.m.