Triple
T10794298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogooué-Ivindo Province |
E254662
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Booué |
E280665
|
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: Booué | Statement: [Ogooué-Ivindo Province, containsTown, Booué]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Booué Context triple: [Ogooué-Ivindo Province, containsTown, Booué]
-
A.
Booué
chosen
Booué is a small town in central Gabon situated along the Ogooué River, known as a local transport and trading hub in the region.
-
B.
Boignée
Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
-
C.
Bédoin
Bédoin is a village in southeastern France’s Vaucluse department, best known as a classic starting point for cyclists ascending Mont Ventoux.
-
D.
Boulingrin
Boulingrin is a central area in Rouen, France, known for serving as a key terminus of the city’s tramway network.
-
E.
Buëch
Buëch is a river in southeastern France that flows through the Hautes-Alpes and Drôme departments before joining the Durance.
- 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.