Triple
T6901785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Haiti |
E159511
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ouanaminthe
Ouanaminthe is a border town in northeastern Haiti known for its busy cross-border trade with the Dominican Republic.
|
E627228
|
NE FINISHED |
How this triple was built (4 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: [Northern Haiti, contains, Ouanaminthe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouanaminthe Context triple: [Northern Haiti, contains, Ouanaminthe]
-
A.
Vougy
Vougy is a French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
B.
Eaux-Bonnes
Eaux-Bonnes is a spa and mountain resort village in the French Pyrenees, known for its thermal baths and scenic alpine surroundings.
-
C.
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.
-
D.
Grand-Goâve
Grand-Goâve is a coastal commune in southwestern Haiti known for its location along the Gulf of Gonâve and its vulnerability to earthquakes and hurricanes.
-
E.
Bounoura
Bounoura is a historic town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ouanaminthe Triple: [Northern Haiti, contains, Ouanaminthe]
Generated description
Ouanaminthe is a border town in northeastern Haiti known for its busy cross-border trade with the Dominican Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ouanaminthe Target entity description: Ouanaminthe is a border town in northeastern Haiti known for its busy cross-border trade with the Dominican Republic.
-
A.
Vougy
Vougy is a French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
-
B.
Eaux-Bonnes
Eaux-Bonnes is a spa and mountain resort village in the French Pyrenees, known for its thermal baths and scenic alpine surroundings.
-
C.
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.
-
D.
Grand-Goâve
Grand-Goâve is a coastal commune in southwestern Haiti known for its location along the Gulf of Gonâve and its vulnerability to earthquakes and hurricanes.
-
E.
Bounoura
Bounoura is a historic town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
- F. None of above. chosen
Provenance (5 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d98749208190842ac075255ca249 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748f0dc448190914e38d780644698 |
completed | March 28, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c749f7ab5c8190ab823fac27f7484d |
completed | March 28, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74a6f828c8190bf0cc56227b1a5b2 |
completed | March 28, 2026, 3:26 a.m. |
Created at: March 27, 2026, 2:24 p.m.