Triple
T10400653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngounié Province |
E245136
|
entity |
| Predicate | seatOfGovernment |
P761
|
FINISHED |
| Object | Mouila |
E863728
|
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: Mouila | Statement: [Ngounié Province, seatOfGovernment, Mouila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mouila Context triple: [Ngounié Province, seatOfGovernment, Mouila]
-
A.
Mouila
chosen
Mouila is a town in southwestern Gabon that serves as an important administrative and commercial center in the Ngounié region.
-
B.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
-
C.
Boulemane
Boulemane is a town and province in northeastern Morocco known for its mountainous landscapes and location within the Middle Atlas region.
-
D.
Ouezzane
Ouezzane is a historic town in northern Morocco known as a spiritual center and gateway to the Rif Mountains.
-
E.
Zouerate
Zouerate is an iron-mining town in northern Mauritania that has served as an important industrial center and historical focal point in the Western Sahara conflict.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e2f11c8190b30695cba2975544 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89f6fbc848190806d50bfad654b27 |
completed | April 10, 2026, 6:57 a.m. |
Created at: April 6, 2026, 12:07 p.m.