Triple
T16012243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washingtonian Center (RIO) |
E388366
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
RIO
RIO is a mixed-use shopping, dining, and entertainment complex located at the Washingtonian Center in Gaithersburg, Maryland.
|
E1189454
|
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: RIO | Statement: [Washingtonian Center (RIO), alternateName, RIO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RIO Context triple: [Washingtonian Center (RIO), alternateName, RIO]
-
A.
42 Rio
42 Rio is a tuition-free, peer-to-peer programming school in Rio de Janeiro that follows the innovative, project-based learning model of the international 42 network.
-
B.
The Carioca
"The Carioca" is a popular 1933 samba-inspired dance song closely associated with the film *Flying Down to Rio* and early Fred Astaire–Ginger Rogers musical numbers.
-
C.
Morning in Rio
"Morning in Rio" is a jazz track by pianist Chick Corea featured on his 1969 album *Encanto*.
-
D.
Road to Rio
Road to Rio is a 1947 musical comedy film starring Bing Crosby and Bob Hope, known for its blend of slapstick humor, music, and romantic adventure.
-
E.
Entre-os-Rios
Entre-os-Rios is a Portuguese riverside parish known for its scenic location at the confluence of the Tâmega and Douro rivers.
- 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: RIO Triple: [Washingtonian Center (RIO), alternateName, RIO]
Generated description
RIO is a mixed-use shopping, dining, and entertainment complex located at the Washingtonian Center in Gaithersburg, Maryland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RIO Target entity description: RIO is a mixed-use shopping, dining, and entertainment complex located at the Washingtonian Center in Gaithersburg, Maryland.
-
A.
42 Rio
42 Rio is a tuition-free, peer-to-peer programming school in Rio de Janeiro that follows the innovative, project-based learning model of the international 42 network.
-
B.
The Carioca
"The Carioca" is a popular 1933 samba-inspired dance song closely associated with the film *Flying Down to Rio* and early Fred Astaire–Ginger Rogers musical numbers.
-
C.
Morning in Rio
"Morning in Rio" is a jazz track by pianist Chick Corea featured on his 1969 album *Encanto*.
-
D.
Road to Rio
Road to Rio is a 1947 musical comedy film starring Bing Crosby and Bob Hope, known for its blend of slapstick humor, music, and romantic adventure.
-
E.
Entre-os-Rios
Entre-os-Rios is a Portuguese riverside parish known for its scenic location at the confluence of the Tâmega and Douro rivers.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18291e2b481909d13cb6057c76cee |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf267a9c81908f1fa1ad117c5e2c |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd0bfc05881908d7223c52050ea14 |
completed | May 10, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd159dbcc81908ac586a6b8de57cf |
completed | May 10, 2026, 12:29 a.m. |
Created at: April 10, 2026, 4:55 a.m.