Triple
T18389397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assigned Amount Unit |
E449680
|
entity |
| Predicate | allocatedFrom |
P83496
|
FINISHED |
| Object | assigned amount |
—
|
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: assigned amount | Statement: [Assigned Amount Unit, allocatedFrom, assigned amount]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allocatedFrom Context triple: [Assigned Amount Unit, allocatedFrom, assigned amount]
-
A.
allocatesFrom
chosen
Indicates that a resource, portion, or share is assigned or taken from a specified source or pool.
-
B.
allocates
Indicates the act of assigning or distributing resources, responsibilities, or portions of something to specific entities or purposes.
-
C.
ownedFrom
Indicates that ownership of an entity began or was acquired starting from a specified time or source.
-
D.
leasedFrom
Indicates that one entity is renting or leasing something from another entity, which acts as the owner or lessor.
-
E.
allocation
Indicates the distribution or assignment of resources, responsibilities, or items among entities according to some rule or plan.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e518416bc48190a20fa66c43d545d9 |
completed | April 19, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.