Triple
T31439473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogueport Plaza |
E802026
|
entity |
| Predicate | hasMusicTrackType |
P3284
|
FINISHED |
| Object | town theme |
—
|
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: town theme | Statement: [Rogueport Plaza, hasMusicTrackType, town theme]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicTrackType Context triple: [Rogueport Plaza, hasMusicTrackType, town theme]
-
A.
hasMusicCharacteristic
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
B.
hasMusicUnit
Indicates that one entity includes, is associated with, or is organized into a specific musical unit (such as a band, ensemble, or musical subgroup).
-
C.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
-
D.
hasTrack
chosen
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
E.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
- 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_69f348c5a6bc819092a557e95438976f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: April 30, 2026, 9:04 p.m.