Triple
T2015636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick Tudor |
E43787
|
entity |
| Predicate | hasCauseOfWealth |
P9503
|
FINISHED |
| Object | monopoly over the ice trade from New England ponds |
—
|
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: monopoly over the ice trade from New England ponds | Statement: [Frederick Tudor, hasCauseOfWealth, monopoly over the ice trade from New England ponds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCauseOfWealth Context triple: [Frederick Tudor, hasCauseOfWealth, monopoly over the ice trade from New England ponds]
-
A.
hasWealthSource
chosen
Indicates that an entity derives its wealth or financial resources from a specified source.
-
B.
hasWealthType
Indicates that an entity possesses or is associated with a particular category or type of wealth.
-
C.
inheritsWealth
Indicates that one entity receives wealth or assets passed down from another, typically after the latter’s death.
-
D.
prosperedFrom
Indicates that one entity gained benefit, success, or advantage as a result of another entity, event, or circumstance.
-
E.
richIn
Indicates that something contains a high amount or concentration of a particular substance, quality, or resource.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8cb16048190bc626685fbb5f707 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.