Triple
T21803266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grupo Xcaret |
E538287
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Xplor
Xplor is an adventure theme park in Mexico’s Riviera Maya known for its zip-lines, underground rivers, and other outdoor adrenaline activities.
|
E1502128
|
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: Xplor | Statement: [Grupo Xcaret, brand, Xplor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xplor Context triple: [Grupo Xcaret, brand, Xplor]
-
A.
Xplor Fuego
Xplor Fuego is the nighttime adventure version of Mexico’s Xplor Park, offering illuminated zip-lines, underground rivers, and other adrenaline-filled activities after dark.
-
B.
Explora
Explora is an interactive science center and children’s museum known for its hands-on exhibits that encourage playful learning in science, technology, engineering, and art.
-
C.
Explorist
Explorist is the mid-tier elite status in the World of Hyatt loyalty program, offering enhanced benefits such as bonus points, preferred rooms, and late checkout.
-
D.
Etrek
Etrek is a town in the Balkan Region of southwestern Turkmenistan, near the border with Iran.
-
E.
Ici Explora
Ici Explora is a Canadian French-language specialty television channel focused on documentaries and factual programming about science, nature, environment, and health.
- 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: Xplor Triple: [Grupo Xcaret, brand, Xplor]
Generated description
Xplor is an adventure theme park in Mexico’s Riviera Maya known for its zip-lines, underground rivers, and other outdoor adrenaline activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xplor Target entity description: Xplor is an adventure theme park in Mexico’s Riviera Maya known for its zip-lines, underground rivers, and other outdoor adrenaline activities.
-
A.
Xplor Fuego
Xplor Fuego is the nighttime adventure version of Mexico’s Xplor Park, offering illuminated zip-lines, underground rivers, and other adrenaline-filled activities after dark.
-
B.
Explora
Explora is an interactive science center and children’s museum known for its hands-on exhibits that encourage playful learning in science, technology, engineering, and art.
-
C.
Explorist
Explorist is the mid-tier elite status in the World of Hyatt loyalty program, offering enhanced benefits such as bonus points, preferred rooms, and late checkout.
-
D.
Etrek
Etrek is a town in the Balkan Region of southwestern Turkmenistan, near the border with Iran.
-
E.
Ici Explora
Ici Explora is a Canadian French-language specialty television channel focused on documentaries and factual programming about science, nature, environment, and health.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780126e88190a93dd8d0519eb8fc |
completed | April 28, 2026, 9:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e827ad88190869f3c4797c80891 |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a3f4358d48190a88208a55d19a9ef |
completed | May 17, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a404206e0819080c640619cd277ab |
completed | May 17, 2026, 10:25 p.m. |
Created at: April 16, 2026, 6:53 p.m.