Triple
T9827468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solidaridad Municipality |
E238693
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Xcaret |
E125158
|
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: Xcaret | Statement: [Solidaridad Municipality, contains, Xcaret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xcaret Context triple: [Solidaridad Municipality, contains, Xcaret]
-
A.
Xcaret Park
chosen
Xcaret Park is a popular eco-archaeological theme park in Mexico’s Riviera Maya that combines natural attractions, cultural performances, and water-based activities.
-
B.
Grupo Xcaret
Grupo Xcaret is a Mexican tourism and entertainment company best known for operating eco-archaeological theme parks and resorts in the Riviera Maya region.
-
C.
Xel-Há Park
Xel-Há Park is a popular eco-archaeological aquatic theme park on Mexico’s Riviera Maya, known for its natural inlet, snorkeling, and all-inclusive outdoor activities.
-
D.
Akumal
Akumal is a coastal town on Mexico’s Riviera Maya known for its tranquil beaches, coral reefs, and sea turtle snorkeling.
-
E.
Tulum
Tulum is a coastal town in Mexico’s Yucatán Peninsula best known for its well-preserved Mayan ruins perched on cliffs overlooking the Caribbean Sea and its popular beaches and resorts.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb324e7848190b9424a78ca653afe |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc88a86c819088f259a049eec4db |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:32 p.m.