Triple
T21988741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caribbean coast of Guyana |
E543029
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Anna Regina
Anna Regina is a small town in northern Guyana that serves as the regional capital of the Pomeroon-Supenaam region and a local commercial and administrative hub.
|
E1512252
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Regina Context triple: [Caribbean coast of Guyana, contains, Anna Regina]
-
A.
Queen Anna
Queen Anna is the warm-hearted and determined monarch from Disney's Frozen franchise, known for her bravery, optimism, and unwavering devotion to her sister Elsa.
-
B.
Queen Anne
Queen Anne is a picturesque late-19th-century architectural style characterized by asymmetrical facades, decorative trim, varied rooflines, and ornate detailing.
-
C.
Queen Anne
Queen Anne is a prominent Seattle neighborhood known for its hilltop views, historic homes, and proximity to downtown and cultural venues.
-
D.
Christina Augusta
Christina Augusta, better known as Queen Christina of Sweden, was the 17th-century Swedish monarch renowned for her intellectual pursuits, unconventional lifestyle, and abdication of the throne.
-
E.
Anna Catherine Constance Vasa
Anna Catherine Constance Vasa was a Polish–Swedish princess of the Vasa dynasty, known as the daughter of King Sigismund III Vasa and a member of the early 17th-century Polish-Lithuanian royal court.
- 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: Anna Regina Triple: [Caribbean coast of Guyana, contains, Anna Regina]
Generated description
Anna Regina is a small town in northern Guyana that serves as the regional capital of the Pomeroon-Supenaam region and a local commercial and administrative hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Regina Target entity description: Anna Regina is a small town in northern Guyana that serves as the regional capital of the Pomeroon-Supenaam region and a local commercial and administrative hub.
-
A.
Queen Anna
Queen Anna is the warm-hearted and determined monarch from Disney's Frozen franchise, known for her bravery, optimism, and unwavering devotion to her sister Elsa.
-
B.
Queen Anne
Queen Anne is a prominent Seattle neighborhood known for its hilltop views, historic homes, and proximity to downtown and cultural venues.
-
C.
Queen Anne
Queen Anne is a picturesque late-19th-century architectural style characterized by asymmetrical facades, decorative trim, varied rooflines, and ornate detailing.
-
D.
Christina Augusta
Christina Augusta, better known as Queen Christina of Sweden, was the 17th-century Swedish monarch renowned for her intellectual pursuits, unconventional lifestyle, and abdication of the throne.
-
E.
Anna Catherine Constance Vasa
Anna Catherine Constance Vasa was a Polish–Swedish princess of the Vasa dynasty, known as the daughter of King Sigismund III Vasa and a member of the early 17th-century Polish-Lithuanian royal court.
- F. None of above. chosen
Provenance (4 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d81c92481909a58757f929f904c |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e18d4f48190bfb917c9c9109ea5 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ee56684819082d2001b2e817ed8 |
completed | May 18, 2026, 1:44 a.m. |
Created at: April 16, 2026, 8:05 p.m.