Triple
T26025629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Road to Zion |
E647279
|
entity |
| Predicate | hasChantingStyle |
P167734
|
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, hasChantingStyle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChantingStyle Context triple: [Road to Zion, hasChantingStyle, true]
-
A.
hasChant
Indicates that an entity is associated with or characterized by a particular chant.
-
B.
hasChantStyleHook
Indicates that something possesses or is associated with a specific chant-style hook as a characteristic or feature.
-
C.
hasChorusStyle
Indicates that an entity is associated with a particular style or manner in which a chorus is performed or structured.
-
D.
hasChantLikeChorus
Indicates that one element features or is characterized by a chorus section that is chant-like in style or delivery.
-
E.
hasMantraStyle
Indicates a relationship where an entity is associated with or characterized by a particular style or form of mantra.
- F. None of above. chosen
Provenance (4 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_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 22, 2026, 9:05 a.m.