Triple
T11745717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Boisrond-Tonnerre |
E279273
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Ouanaminthe |
E627228
|
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: Ouanaminthe | Statement: [Louis Boisrond-Tonnerre, placeOfBirth, Ouanaminthe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouanaminthe Context triple: [Louis Boisrond-Tonnerre, placeOfBirth, Ouanaminthe]
-
A.
Ouanaminthe
chosen
Ouanaminthe is a border town in northeastern Haiti known for its busy cross-border trade with the Dominican Republic.
-
B.
Vougy
Vougy is a French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
C.
Eaux-Bonnes
Eaux-Bonnes is a spa and mountain resort village in the French Pyrenees, known for its thermal baths and scenic alpine surroundings.
-
D.
Fougamou
Fougamou is a small town in southwestern Gabon that serves as an administrative and transport hub in Ngounié Province.
-
E.
Langoué Baï
Langoué Baï is a renowned forest clearing in Gabon celebrated for its rich biodiversity and frequent gatherings of forest elephants and other wildlife.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f2a38c8190a682d8dae1ab9415 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019f5f29c81909d80a9e6127ec6ef |
completed | April 28, 2026, 2:22 a.m. |
Created at: April 8, 2026, 9:41 p.m.