Triple
T11748041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province House, Boston |
E279333
|
entity |
| Predicate | postRevolutionUse |
P86024
|
FINISHED |
| Object | used for state government offices |
—
|
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: used for state government offices | Statement: [Province House, Boston, postRevolutionUse, used for state government offices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postRevolutionUse Context triple: [Province House, Boston, postRevolutionUse, used for state government offices]
-
A.
postRevolution
Indicates that one event, condition, or state occurs or exists after a revolution has taken place.
-
B.
postRevolutionStatus
chosen
Indicates the condition, role, or state an entity holds after a revolution has occurred.
-
C.
continuedInPostRevolutionaryFrance
Indicates that an action, practice, or relationship persisted into the period following the French Revolution in France.
-
D.
preRevolutionStatus
Indicates the status or condition of an entity as it existed prior to a specified revolution or revolutionary event.
-
E.
functionDuringRevolution
Indicates that an entity performs or serves a particular function specifically during a revolutionary period or event.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.