Triple
T22575919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Where Do We Go |
E544392
|
entity |
| Predicate | hasTitlePhrase |
P3254
|
FINISHED |
| Object | Do |
E1504740
|
NE FINISHED |
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: Do | Statement: [Where Do We Go, hasTitlePhrase, Do]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Do Context triple: [Where Do We Go, hasTitlePhrase, Do]
-
A.
Do
chosen
Do is a Korean given name commonly used for both males and females, often as part of a two-syllable name.
-
B.
Du
Du is a town and administrative settlement located within Jos South Local Government Area in Plateau State, Nigeria.
-
C.
Du
Du is a Chinese surname historically borne by notable figures such as the Tang dynasty poet Du Fu.
-
D.
You
You is a Korean family name borne by individuals such as Catholic cardinal Lázaro You Heung-sik.
-
E.
You
"You" is a hit Afrobeats single by Nigerian singer-songwriter Omah Lay that helped establish his rise to international prominence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d7cfd2c8190837ce262fbb96ec0 |
completed | May 18, 2026, 3:17 p.m. |
Created at: April 16, 2026, 8:53 p.m.