Triple
T17124362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guédiawaye Department |
E415552
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Guédiawaye |
E1254748
|
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: Guédiawaye | Statement: [Guédiawaye Department, hasSettlement, Guédiawaye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guédiawaye Context triple: [Guédiawaye Department, hasSettlement, Guédiawaye]
-
A.
Guédiawaye
chosen
Guédiawaye is a coastal city in western Senegal that forms part of the Dakar metropolitan area and serves as an important urban and administrative center.
-
B.
Guéckédou
Guéckédou is a town in southern Guinea known as a regional trading center near the borders with Sierra Leone and Liberia.
-
C.
Ambouli
Ambouli is a district of Djibouti City that hosts the country’s main international airport and related urban infrastructure.
-
D.
Daloa
Daloa is a major inland city in western Côte d'Ivoire known as an important commercial and agricultural center, particularly for cocoa production.
-
E.
Thiès
Thiès is a major city in western Senegal that serves as an important transportation and industrial hub.
- 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_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_6a015fbff4b48190970073eb3b9d5d75 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:36 a.m.