Triple
T16830614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Barra |
E409137
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object |
Playa Bikini
Playa Bikini is a popular beach in La Barra, Uruguay, known for its lively atmosphere, trendy crowd, and vibrant summer nightlife.
|
E1235574
|
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: Playa Bikini | Statement: [La Barra, hasBeach, Playa Bikini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Playa Bikini Context triple: [La Barra, hasBeach, Playa Bikini]
-
A.
Bikini Beach
Bikini Beach is a 1964 American beach party comedy film known for its surf culture setting, teen romance, and lighthearted musical numbers.
-
B.
Jericho Beach
Jericho Beach is a popular sandy waterfront in Vancouver, British Columbia, known for its scenic views, recreational activities, and proximity to parks and sailing facilities.
-
C.
Sao Beach
Sao Beach is a famous white-sand beach on Phu Quoc Island in Vietnam, known for its clear turquoise water and relaxed, scenic atmosphere.
-
D.
Paradise Bay
Paradise Bay is a mobile simulation game developed and published by King, known for its tropical island setting and resource-management gameplay.
-
E.
Paradise Bay
Paradise Bay was a short-lived 1960s American daytime soap opera in which actor Keith Andes played a leading role.
- 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: Playa Bikini Triple: [La Barra, hasBeach, Playa Bikini]
Generated description
Playa Bikini is a popular beach in La Barra, Uruguay, known for its lively atmosphere, trendy crowd, and vibrant summer nightlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Playa Bikini Target entity description: Playa Bikini is a popular beach in La Barra, Uruguay, known for its lively atmosphere, trendy crowd, and vibrant summer nightlife.
-
A.
Bikini Beach
Bikini Beach is a 1964 American beach party comedy film known for its surf culture setting, teen romance, and lighthearted musical numbers.
-
B.
Jericho Beach
Jericho Beach is a popular sandy waterfront in Vancouver, British Columbia, known for its scenic views, recreational activities, and proximity to parks and sailing facilities.
-
C.
Sao Beach
Sao Beach is a famous white-sand beach on Phu Quoc Island in Vietnam, known for its clear turquoise water and relaxed, scenic atmosphere.
-
D.
Paradise Bay
Paradise Bay was a short-lived 1960s American daytime soap opera in which actor Keith Andes played a leading role.
-
E.
Paradise Bay
Paradise Bay is the central waterfront lagoon at Disney California Adventure Park that serves as the scenic backdrop and performance space for large-scale nighttime spectaculars.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b316acc881909c686add53d72388 |
completed | April 18, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b2a2a5348190b14af8ab88a281b7 |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b475236c8190a345b4c8d3c6cfcf |
completed | May 10, 2026, 4:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b6dfbf448190b41bb7d103ddfc0a |
completed | May 10, 2026, 4:48 p.m. |
Created at: April 10, 2026, 5:23 a.m.