Triple
T26025615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road to Zion |
E647279
|
entity |
| Predicate | hasRappedVerses |
P32387
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Road to Zion, hasRappedVerses, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRappedVerses Context triple: [Road to Zion, hasRappedVerses, true]
-
A.
hasRapVocals
chosen
Indicates that an entity (such as a song, track, or performance) contains rap-style vocal parts or rapping.
-
B.
hasRapSectionBy
Indicates that something (such as a song or track) contains a rap section performed or created by a specified artist or entity.
-
C.
hasSongAbout
Indicates that one entity has created, features, or is associated with a song whose subject or theme is about another entity.
-
D.
hasGuestVerseBy
Indicates that a work (such as a song or track) includes a guest verse performed by a specified artist.
-
E.
hasPoemOrRhymeVersion
Indicates that one entity is a poem or rhyme version, adaptation, or variant of another entity.
- F. None of above.
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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 22, 2026, 9:05 a.m.