Triple
T6772982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Title II |
E155086
|
entity |
| Predicate | fundingFormulaBasedOn |
P54711
|
FINISHED |
| Object | population |
—
|
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: population | Statement: [Title II, fundingFormulaBasedOn, population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundingFormulaBasedOn Context triple: [Title II, fundingFormulaBasedOn, population]
-
A.
fundingModel
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
B.
fundingPolicy
chosen
Indicates the rules or guidelines governing how financial resources are allocated, distributed, or managed within a given context.
-
C.
regulationFormula
Indicates the specific rule or formula that governs how a process, behavior, or quantity is controlled or regulated.
-
D.
fundingLevel
Indicates the amount or degree of financial resources allocated or committed to an entity, project, or activity.
-
E.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24aaf948190a544cc28b7de67c4 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:13 p.m.