Triple
T19745032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live Rust |
E474227
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Sugar Mountain” |
E472193
|
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: “Sugar Mountain” | Statement: [Live Rust, hasPart, “Sugar Mountain”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Sugar Mountain” Context triple: [Live Rust, hasPart, “Sugar Mountain”]
-
A.
Sugar Mountain
chosen
"Sugar Mountain" is a beloved Neil Young song, written when he was a teenager, that nostalgically reflects on the loss of youth and innocence.
-
B.
“Up the Hill Backwards”
“Up the Hill Backwards” is a song by David Bowie from his 1980 album *Scary Monsters (and Super Creeps)*, noted for its unconventional structure and reflective lyrics.
-
C.
Mockin' Bird Hill
"Mockin' Bird Hill" is a popular 1951 country-pop song best known through Patti Page's hit recording, noted for its cheerful melody and nostalgic, rural-themed lyrics.
-
D.
Mother Hill
Mother Hill is an English name referring to Mam Tor, a prominent and landslide-prone hill in the Peak District of Derbyshire.
-
E.
Purple Mountain
Purple Mountain is a famous scenic and historical mountain in Nanjing, China, known for its rich cultural heritage, ancient sites, and natural beauty.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e652923fd48190982c51c39814fd08 |
completed | April 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07b501e7348190bf2b14c98cd7cdb0 |
completed | May 16, 2026, 12:06 a.m. |
Created at: April 10, 2026, 1:47 p.m.