Triple
T5261299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DRPT |
E118829
|
entity |
| Predicate | fundingRole |
P37457
|
FINISHED |
| Object | capital funding for rail projects |
—
|
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: capital funding for rail projects | Statement: [DRPT, fundingRole, capital funding for rail projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundingRole Context triple: [DRPT, fundingRole, capital funding for rail projects]
-
A.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
B.
funderOf
Indicates that one entity provides financial support or funding for another entity, project, or activity.
-
C.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
-
D.
fundingContext
chosen
Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
-
E.
foundingRole
Indicates the specific role or capacity an entity held in the founding or establishment of 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bcf026c8190881b6e14b962a3c9 |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.