Triple
T10794276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogooué-Ivindo Province |
E254662
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Makokou |
E245955
|
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: Makokou | Statement: [Ogooué-Ivindo Province, capital, Makokou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makokou Context triple: [Ogooué-Ivindo Province, capital, Makokou]
-
A.
Makokou
chosen
Makokou is a small town in northeastern Gabon that serves as a key access point to the surrounding rainforest and protected areas.
-
B.
Goura
Goura is a small village in the Peloponnese region of Greece, known for its traditional stone architecture and mountainous surroundings.
-
C.
Moukari
Moukari is a Finnish amateur radio callsign holder, identified by the callsign K9FIN Moukari.
-
D.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
-
E.
Yokadouma
Yokadouma is a town in eastern Cameroon that serves as an important local administrative and commercial center near the country's forested border regions.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f878648190be5e25c56a7511cf |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84f1fdfc8190a31a13ae434e56c1 |
completed | April 14, 2026, 6:18 p.m. |
Created at: April 8, 2026, 9:17 p.m.