Triple
T4461004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts pound |
E98252
|
entity |
| Predicate | reasonForIssue |
P24494
|
FINISHED |
| Object | to finance colonial government expenditures |
—
|
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: to finance colonial government expenditures | Statement: [Massachusetts pound, reasonForIssue, to finance colonial government expenditures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForIssue Context triple: [Massachusetts pound, reasonForIssue, to finance colonial government expenditures]
-
A.
statedReason
chosen
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
B.
reasonForException
Indicates the specific cause or justification for why a normal rule, process, or condition does not apply in a given case.
-
C.
underlyingIssue
Indicates that one situation, problem, or condition is the fundamental cause or root problem behind another.
-
D.
reasonForDecline
Indicates the explanation or cause given for why something was rejected, reduced, or not accepted.
-
E.
originalReason
Indicates the initial cause, motivation, or justification behind an action, decision, or state of affairs.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35674f718819089388c3924dd1414 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:34 p.m.