Triple
T25036468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tift College campus, Forsyth, Georgia |
E626988
|
entity |
| Predicate | useChange |
P38005
|
FINISHED |
| Object | converted from college campus to corrections department headquarters |
—
|
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: converted from college campus to corrections department headquarters | Statement: [Tift College campus, Forsyth, Georgia, useChange, converted from college campus to corrections department headquarters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useChange Context triple: [Tift College campus, Forsyth, Georgia, useChange, converted from college campus to corrections department headquarters]
-
A.
changeType
chosen
Indicates the specific kind or category of modification that has occurred to an entity or relationship.
-
B.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
-
C.
changeAgent
Indicates that an entity is responsible for causing or initiating a change in another entity or state.
-
D.
settingChange
Indicates a change made to a configuration, environment, or parameter value from one state to another.
-
E.
featureChange
Indicates a modification in the properties, characteristics, or attributes of an entity between two states or points in time.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4530674d88190a3516bbd64234111 |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:08 a.m.