Triple
T31282435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Form 1040-A |
E797705
|
entity |
| Predicate | includedSections |
P56991
|
FINISHED |
| Object | income |
—
|
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: income | Statement: [Form 1040-A, includedSections, income]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedSections Context triple: [Form 1040-A, includedSections, income]
-
A.
linedSections
Indicates that one section is arranged or positioned in alignment with another section.
-
B.
coveredSection
Indicates that one section is physically or conceptually overlaid, protected, or enclosed by another, such that it is considered to be under that section’s coverage.
-
C.
includesStatusSection
Indicates that something contains or provides a dedicated section for displaying status information.
-
D.
coveredSectionsLocation
Indicates the specific location or area where the covered sections are situated or applied.
-
E.
includedBy
chosen
Indicates that one entity is contained within, encompassed by, or treated as a subset or member 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_69f224def9088190a37034eab3daf57f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00d76d0e0881908d83a8dcce511167 |
completed | May 10, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_6a00d711805881909a94cfd1f25fb331 |
completed | May 10, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:13 p.m.