Triple
T17093254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guéckédou |
E414775
|
entity |
| Predicate | hasNameInEnglish |
P3437
|
FINISHED |
| Object | Gueckedou |
E414775
|
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: Gueckedou | Statement: [Guéckédou, hasNameInEnglish, Gueckedou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gueckedou Context triple: [Guéckédou, hasNameInEnglish, Gueckedou]
-
A.
Duékoué
Duékoué is a town in western Côte d'Ivoire that became notorious as a major site of violence and massacres during the country's civil conflicts.
-
B.
Guéckédou
chosen
Guéckédou is a town in southern Guinea known as a regional trading center near the borders with Sierra Leone and Liberia.
-
C.
Ziguinchor
Ziguinchor is a major city in southern Senegal, serving as the regional capital of Casamance and an important cultural and economic hub.
-
D.
Kabye
Kabye is a Gur language spoken primarily in northern Togo and parts of neighboring West African countries by the Kabye people.
-
E.
Korhogo
Korhogo is a major city in northern Côte d'Ivoire that serves as an important cultural and economic center for the Senufo people.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfb89348190942984037bd3bd2e |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139fa0a288190af69201ec88ec3c6 |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:35 a.m.