Triple
T5445821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riviera Maya |
E122245
|
entity |
| Predicate | hasResortArea |
P10436
|
FINISHED |
| Object |
Xpu-Ha
Xpu-Ha is a tranquil beach destination on Mexico’s Riviera Maya known for its white sand, turquoise waters, and low-key resorts.
|
E521018
|
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: Xpu-Ha | Statement: [Riviera Maya, hasResortArea, Xpu-Ha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xpu-Ha Context triple: [Riviera Maya, hasResortArea, Xpu-Ha]
-
A.
XU
XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
-
B.
Hau
Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
-
C.
Xan
Xan is a short, informal diminutive of the given name Xander.
-
D.
XHP
XHP is the IATA station code assigned to Paris's Gare de l'Est railway station.
-
E.
XHP
XHP is a PHP extension for Facebook's Hack language that lets developers write XML-like syntax directly in code to create robust, type-safe user interface components.
- 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: Xpu-Ha Triple: [Riviera Maya, hasResortArea, Xpu-Ha]
Generated description
Xpu-Ha is a tranquil beach destination on Mexico’s Riviera Maya known for its white sand, turquoise waters, and low-key resorts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xpu-Ha Target entity description: Xpu-Ha is a tranquil beach destination on Mexico’s Riviera Maya known for its white sand, turquoise waters, and low-key resorts.
-
A.
XU
XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
-
B.
Hau
Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
-
C.
Xan
Xan is a short, informal diminutive of the given name Xander.
-
D.
XHP
XHP is the IATA station code assigned to Paris's Gare de l'Est railway station.
-
E.
XHP
XHP is a PHP extension for Facebook's Hack language that lets developers write XML-like syntax directly in code to create robust, type-safe user interface components.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91cf5d488190868ffefad02c7a04 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf413573c08190beae400c485d2132 |
completed | March 22, 2026, 1:09 a.m. |
| NEDg | Description generation | batch_69bf4364b2f48190b69cc27ca6900892 |
completed | March 22, 2026, 1:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf43b523a88190938662ae89eba502 |
completed | March 22, 2026, 1:19 a.m. |
Created at: March 20, 2026, 2:07 p.m.