Triple
T21013901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proposition 1A (2008) |
E517619
|
entity |
| Predicate | includesFundingFor |
P142482
|
FINISHED |
| Object | planning and engineering for high-speed rail |
—
|
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: planning and engineering for high-speed rail | Statement: [Proposition 1A (2008), includesFundingFor, planning and engineering for high-speed rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesFundingFor Context triple: [Proposition 1A (2008), includesFundingFor, planning and engineering for high-speed rail]
-
A.
fundingContext
Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
-
B.
fundingComponent
Indicates that one entity serves as a financial contributor or funding source for another entity or activity.
-
C.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
D.
includesFundType
Indicates that one entity contains or encompasses a particular type or category of fund within its scope or structure.
-
E.
permittedFundingFrom
Indicates that providing financial resources from one entity to another is allowed under specified rules or conditions.
- F. None of above. chosen
Provenance (4 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5764188190829de6f5abd6e00f |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:54 p.m.