Triple
T5679175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xcaret Park |
E125158
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Grupo Xcaret |
E538287
|
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: Grupo Xcaret | Statement: [Xcaret Park, owner, Grupo Xcaret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grupo Xcaret Context triple: [Xcaret Park, owner, Grupo Xcaret]
-
A.
Grupo Xcaret
chosen
Grupo Xcaret is a Mexican tourism and entertainment company best known for operating eco-archaeological theme parks and resorts in the Riviera Maya region.
-
B.
Xcaret Park
Xcaret Park is a popular eco-archaeological theme park in Mexico’s Riviera Maya that combines natural attractions, cultural performances, and water-based activities.
-
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.
Huatulco
Huatulco is a coastal resort town on Mexico’s Pacific coast, renowned for its nine picturesque bays, sandy beaches, and eco-friendly tourism.
-
E.
Akumal
Akumal is a coastal town on Mexico’s Riviera Maya known for its tranquil beaches, coral reefs, and sea turtle snorkeling.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023960ecc819080a97a37be80c01f |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a3211b08190868811db3d5268b1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.