Triple
T22575921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where Do We Go |
E544392
|
entity |
| Predicate | hasTitlePhrase |
P3254
|
FINISHED |
| Object | Go |
—
|
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: Go | Statement: [Where Do We Go, hasTitlePhrase, Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go Context triple: [Where Do We Go, hasTitlePhrase, Go]
-
A.
Go
Go is an ancient East Asian abstract strategy board game, renowned for its simple rules yet immense strategic depth, played on a grid with black and white stones.
-
B.
Go
Go is a 1961 hard bop jazz album by bassist Paul Chambers, showcasing his work as a bandleader with a small ensemble.
-
C.
Go
"Go" is a 2015 electronic dance track by The Chemical Brothers featuring Q-Tip, known for its driving beat and distinctive, minimalist music video.
-
D.
Go
Go is a Japanese film adaptation of Kazuki Kaneshiro’s novel that follows a Korean-Japanese teenager grappling with identity, discrimination, and love in contemporary Japan.
-
E.
Go
Go is a statically typed, compiled programming language developed at Google, known for its simplicity, efficient concurrency support, and suitability for scalable networked and cloud services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fecf1c8819091a05f2a1b93ca8a |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.