Triple
T22930919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foumban |
E569434
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object | Koutaba |
—
|
NE NERFINISHED |
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: Koutaba | Statement: [Foumban, hasRoadConnectionTo, Koutaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koutaba Context triple: [Foumban, hasRoadConnectionTo, Koutaba]
-
A.
Koutaba
chosen
Koutaba is a town and commune in western Cameroon known for its location in the country’s West Region.
-
B.
Kashira
Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
-
C.
Suwawa
Suwawa is an Austronesian language spoken by the Suwawa people in the northern part of Sulawesi, Indonesia.
-
D.
Kasaba
Kasaba is a 1997 Turkish drama film by acclaimed director Nuri Bilge Ceylan, noted for its quiet, contemplative portrayal of rural family life and childhood.
-
E.
Uraku
Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18131956c8190b8c850fc1d57a119 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.