Triple
T17568347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tokio-serde |
E427873
|
entity |
| Predicate | requires |
P100
|
FINISHED |
| Object | Tokio runtime |
—
|
NE NERFINISHED |
How this triple was built (2 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 runtime | Statement: [tokio-serde, requires, Tokio runtime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokio runtime Context triple: [tokio-serde, requires, Tokio runtime]
-
A.
Tokio runtime
chosen
Tokio runtime is an asynchronous, event-driven runtime for the Rust programming language that provides efficient task scheduling, I/O, and timing utilities for building concurrent applications.
-
B.
Tokyo Sprint
Tokyo Sprint is a Japanese horse racing event held at Ohi Racecourse, known for its short-distance, high-speed competition.
-
C.
Nadi–Tokyo
Nadi–Tokyo is an international flight route linking Nadi, Fiji with Tokyo, Japan, serving as a key air connection between the South Pacific and East Asia.
-
D.
Tokyo!</
Tokyo! is a 2008 anthology film consisting of three short stories by different directors, each exploring surreal and offbeat experiences in contemporary Tokyo.
-
E.
TYO
TYO is the metropolitan airport code representing the Tokyo area’s major airports, primarily Haneda (HND) and Narita (NRT).
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592f29d08190bc3de905d35af849 |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.