Triple
T37366573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown domain of the King of Aragon |
E927726
|
entity |
| Predicate | hasSourceOfIncome |
P9503
|
FINISHED |
| Object | rents |
—
|
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: rents | Statement: [Crown domain of the King of Aragon, hasSourceOfIncome, rents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSourceOfIncome Context triple: [Crown domain of the King of Aragon, hasSourceOfIncome, rents]
-
A.
hasWealthSource
chosen
Indicates that an entity derives its wealth or financial resources from a specified source.
-
B.
usesForIncome
Indicates that one entity derives income or financial gain from using another entity.
-
C.
requiresEarnedIncome
Indicates that something is conditional upon an individual or entity having earned income, such as wages or salary, in order to qualify or apply.
-
D.
hasPrimaryFundingSource
Indicates that an entity receives its main or principal financial support from a specified funding source.
-
E.
income
Indicates the amount of money an entity receives, typically over a specified period, from work, investments, or other sources.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 3, 2026, 4:16 p.m.