Triple
T7224162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sud Department |
E150334
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object |
Arniquet
Arniquet is a commune located in the Sud Department of Haiti.
|
E650176
|
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: Arniquet | Statement: [Sud Department, containsCommune, Arniquet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arniquet Context triple: [Sud Department, containsCommune, Arniquet]
-
A.
Confignon
Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
-
B.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
C.
Lauzerte
Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
-
D.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
E.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
- 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: Arniquet Triple: [Sud Department, containsCommune, Arniquet]
Generated description
Arniquet is a commune located in the Sud Department of Haiti.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arniquet Target entity description: Arniquet is a commune located in the Sud Department of Haiti.
-
A.
Confignon
Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
-
B.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
C.
Lauzerte
Lauzerte is a medieval hilltop village in southern France known for its well-preserved historic center and picturesque views over the surrounding countryside.
-
D.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
E.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9db51888190b8463d0003f334fa |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc11b48881909886a71f1b887789 |
completed | March 28, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69c7cd47d4b88190a75c419c41d57cb9 |
completed | March 28, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cdbdee8081908faadb9cdaa4df13 |
completed | March 28, 2026, 12:46 p.m. |
Created at: March 27, 2026, 2:54 p.m.