Triple
T21988678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caribbean coast of Mexico |
E543028
|
entity |
| Predicate | hasResortArea |
P10436
|
FINISHED |
| Object |
Costa Maya
Costa Maya is a popular Mexican cruise port and beach resort area known for its Caribbean shoreline, nearby Mayan ruins, and water-based tourism activities.
|
E1512250
|
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: Costa Maya Context triple: [Caribbean coast of Mexico, hasResortArea, Costa Maya]
-
A.
Selva Maya
Selva Maya is a vast tropical forest region in Mesoamerica, spanning parts of Mexico, Guatemala, and Belize, and recognized as one of the largest remaining continuous tracts of rainforest in the Americas.
-
B.
Sayaxché
Sayaxché is a town and municipality in northern Guatemala known as a gateway to Maya archaeological sites and the forests and rivers of the Petén region.
-
C.
Petén
Petén is a vast, sparsely populated department in northern Guatemala known for its dense tropical forests and major Maya archaeological sites such as Tikal.
-
D.
Yucatán Peninsula
The Yucatán Peninsula is a large landmass in southeastern Mexico extending into the Caribbean, known for its Maya archaeological sites, cenotes, and tropical coastal ecosystems.
-
E.
Mosquito Coast
The Mosquito Coast is a historically significant tropical region along the Caribbean coasts of present-day Nicaragua and Honduras, known for its indigenous Miskito population and complex colonial-era interactions.
- 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: Costa Maya Triple: [Caribbean coast of Mexico, hasResortArea, Costa Maya]
Generated description
Costa Maya is a popular Mexican cruise port and beach resort area known for its Caribbean shoreline, nearby Mayan ruins, and water-based tourism activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Costa Maya Target entity description: Costa Maya is a popular Mexican cruise port and beach resort area known for its Caribbean shoreline, nearby Mayan ruins, and water-based tourism activities.
-
A.
Selva Maya
Selva Maya is a vast tropical forest region in Mesoamerica, spanning parts of Mexico, Guatemala, and Belize, and recognized as one of the largest remaining continuous tracts of rainforest in the Americas.
-
B.
Sayaxché
Sayaxché is a town and municipality in northern Guatemala known as a gateway to Maya archaeological sites and the forests and rivers of the Petén region.
-
C.
Petén
Petén is a vast, sparsely populated department in northern Guatemala known for its dense tropical forests and major Maya archaeological sites such as Tikal.
-
D.
Yucatán Peninsula
The Yucatán Peninsula is a large landmass in southeastern Mexico extending into the Caribbean, known for its Maya archaeological sites, cenotes, and tropical coastal ecosystems.
-
E.
Mosquito Coast
The Mosquito Coast is a historically significant tropical region along the Caribbean coasts of present-day Nicaragua and Honduras, known for its indigenous Miskito population and complex colonial-era interactions.
- 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.