Triple
T15305015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Research and Innovative Technology Administration |
E365876
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
RITA
RITA is a former U.S. Department of Transportation agency that focused on advancing transportation research, data, and innovative technologies.
|
E1150592
|
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: RITA | Statement: [Research and Innovative Technology Administration, abbreviation, RITA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RITA Context triple: [Research and Innovative Technology Administration, abbreviation, RITA]
-
A.
Rita
Rita is a high-speed launched roller coaster at Alton Towers Resort in Staffordshire, England.
-
B.
Rita
Rita is a small islet in the Majuro Atoll of the Marshall Islands, known as part of the ring of islands surrounding Majuro Lagoon.
-
C.
Rita
Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
-
D.
Mrs. Rita
"Mrs. Rita" is a song by the American rock band Gin Blossoms, known for its jangly guitar sound and introspective alternative rock style characteristic of their early 1990s work.
-
E.
Rita Gam
Rita Gam was an American film and television actress known for her work in the 1950s and 1960s, including roles in films such as "The Thief" and "King of Kings."
- 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: RITA Triple: [Research and Innovative Technology Administration, abbreviation, RITA]
Generated description
RITA is a former U.S. Department of Transportation agency that focused on advancing transportation research, data, and innovative technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RITA Target entity description: RITA is a former U.S. Department of Transportation agency that focused on advancing transportation research, data, and innovative technologies.
-
A.
Rita
Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
-
B.
Rita
Rita is a small islet in the Majuro Atoll of the Marshall Islands, known as part of the ring of islands surrounding Majuro Lagoon.
-
C.
Rita
Rita is a high-speed launched roller coaster at Alton Towers Resort in Staffordshire, England.
-
D.
Mrs. Rita
"Mrs. Rita" is a song by the American rock band Gin Blossoms, known for its jangly guitar sound and introspective alternative rock style characteristic of their early 1990s work.
-
E.
Rita Gam
Rita Gam was an American film and television actress known for her work in the 1950s and 1960s, including roles in films such as "The Thief" and "King of Kings."
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89d961481909be8dcc2864982c9 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefa339f988190b470e052c853e4f8 |
completed | May 9, 2026, 9:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefac48df08190ad58e9d455546a57 |
completed | May 9, 2026, 9:13 a.m. |
Created at: April 10, 2026, 3:16 a.m.