Triple
T18054121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Gospel Tabernacle |
E431992
|
entity |
| Predicate | roleInNashville |
P8234
|
FINISHED |
| Object | key site in the city’s musical heritage |
—
|
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: key site in the city’s musical heritage | Statement: [Union Gospel Tabernacle, roleInNashville, key site in the city’s musical heritage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInNashville Context triple: [Union Gospel Tabernacle, roleInNashville, key site in the city’s musical heritage]
-
A.
roleAtMemphis
Indicates that an entity holds or held a specific role or position at the organization or institution named Memphis.
-
B.
roleInLasVegas
Indicates that an entity holds or held a specific role, position, or function within the context of Las Vegas (such as in its government, organizations, events, or productions).
-
C.
urbanRole
Indicates the function, status, or role that an entity holds within an urban or city context.
-
D.
hasCityRole
chosen
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
E.
roleInNigeria
Indicates that an entity holds or has held a specific role, position, or function within the context of Nigeria.
- 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_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. |
Created at: April 10, 2026, 10:26 a.m.