Triple
T17597978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | actix-http |
E428622
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object |
Tokio
Tokio is a popular asynchronous runtime for the Rust programming language, providing event-driven, non-blocking I/O for building high-performance network and concurrent applications.
|
E1287811
|
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: Tokio | Statement: [actix-http, integratesWith, Tokio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokio Context triple: [actix-http, integratesWith, Tokio]
-
A.
Tokyo
Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
-
B.
Tokyo
"Tokyo" is a popular Afrobeats song by Ghanaian singer King Promise featuring Nigerian artist Wizkid.
-
C.
Tōkyō-wan
Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
-
D.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
E.
Ome, Tokyo
Ome, Tokyo is a suburban city in western Tokyo Metropolis known for its riverside scenery, access to the Okutama mountains, and blend of residential areas with natural landscapes.
- 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: Tokio Triple: [actix-http, integratesWith, Tokio]
Generated description
Tokio is a popular asynchronous runtime for the Rust programming language, providing event-driven, non-blocking I/O for building high-performance network and concurrent applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tokio Target entity description: Tokio is a popular asynchronous runtime for the Rust programming language, providing event-driven, non-blocking I/O for building high-performance network and concurrent applications.
-
A.
Tokyo
Tokyo is Japan’s largest metropolis and a global center of finance, culture, technology, and transportation.
-
B.
Tokyo
"Tokyo" is a popular Afrobeats song by Ghanaian singer King Promise featuring Nigerian artist Wizkid.
-
C.
Tōkyō-wan
Tōkyō-wan is the Japanese name for Tokyo Bay, a major urban bay on the Pacific coast of Honshu that serves as a key economic and transportation hub for the Greater Tokyo Area.
-
D.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
E.
Ome, Tokyo
Ome, Tokyo is a suburban city in western Tokyo Metropolis known for its riverside scenery, access to the Okutama mountains, and blend of residential areas with natural landscapes.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ecfb108190a9e7a5b380f8ab93 |
completed | April 19, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f82315408190acddb1bb68be7925 |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f8aafefc8190b9b0c8622960b69d |
completed | May 12, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f93053dc8190b0a2aa5ff7dd2019 |
completed | May 12, 2026, 9:56 a.m. |
Created at: April 10, 2026, 5:51 a.m.