Triple
T18054120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Gospel Tabernacle |
E431992
|
entity |
| Predicate | importanceInCountryMusic |
P129645
|
FINISHED |
| Object | iconic venue |
—
|
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: iconic venue | Statement: [Union Gospel Tabernacle, importanceInCountryMusic, iconic venue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceInCountryMusic Context triple: [Union Gospel Tabernacle, importanceInCountryMusic, iconic venue]
-
A.
hasCountryMusicFocus
Indicates that something is primarily oriented toward, dedicated to, or characterized by country music.
-
B.
formerlyCountry
Indicates that an entity was previously recognized as a country but no longer holds that status.
-
C.
relativeImportanceInCountry
Indicates the comparative significance or priority of something within the context of a specific country.
-
D.
firstPerformanceCountry
Indicates the country in which something (such as a work, show, or performance) was first performed.
-
E.
honorsCountry
Indicates that one entity formally recognizes, respects, or pays tribute to a particular country.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c100e7e4819084470c5b7fced334 |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:26 a.m.