Triple
T20795591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Project-Based Rental Assistance |
E511901
|
entity |
| Predicate | assistanceType |
P128327
|
FINISHED |
| Object | project-based rental assistance |
—
|
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: project-based rental assistance | Statement: [Project-Based Rental Assistance, assistanceType, project-based rental assistance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assistanceType Context triple: [Project-Based Rental Assistance, assistanceType, project-based rental assistance]
-
A.
hasAssistanceType
chosen
Indicates that one entity provides or is associated with a specific kind or category of assistance in relation to another entity.
-
B.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
C.
helpsIn
Indicates that one entity provides assistance, support, or aid to another entity in performing or achieving a particular task, activity, or goal.
-
D.
requiresAssistanceFrom
Indicates that one entity depends on help, support, or intervention from another entity to perform an action or fulfill a need.
-
E.
typeOfRescue
Indicates the specific method or category of rescue operation performed in a rescue event.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2acbac48190b9b46c8c2a761bd8 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:39 p.m.