Triple
T15209634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pork and Beans War |
E363480
|
entity |
| Predicate | mainEconomicIssue |
P14591
|
FINISHED |
| Object | lumbering rights |
—
|
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: lumbering rights | Statement: [Pork and Beans War, mainEconomicIssue, lumbering rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainEconomicIssue Context triple: [Pork and Beans War, mainEconomicIssue, lumbering rights]
-
A.
economicSectorIssue
chosen
Indicates that there is a problem, challenge, or concern affecting a particular economic sector.
-
B.
economicFunction
Indicates the role or purpose an entity serves within an economic system, such as how it contributes to production, distribution, or consumption of goods and services.
-
C.
economicView
Indicates a relationship where one entity holds or expresses a particular economic belief, stance, or perspective regarding economic systems, policies, or issues.
-
D.
economicPolicyArea
Indicates the specific domain or sector of economic policy to which an action, measure, or issue is related.
-
E.
economicSystem
Indicates the type or structure of the economic organization or system under which an entity operates or to which it belongs.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076ad4ec81908d36f541fca08d72 |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:11 a.m.