Triple
T37976388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRS Form 6627 |
E947435
|
entity |
| Predicate | attachmentTo |
P10139
|
FINISHED |
| Object | Form 720 |
—
|
NE NERFINISHED |
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: Form 720 | Statement: [IRS Form 6627, attachmentTo, Form 720]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attachmentTo Context triple: [IRS Form 6627, attachmentTo, Form 720]
-
A.
attachmentType
Indicates the specific kind or category of attachment that relates one entity to another.
-
B.
attachedTo
chosen
Indicates that one entity is physically or logically fastened, connected, or joined to another entity.
-
C.
supportsAttachmentTo
Indicates that one entity provides a structural or functional basis for another entity to be attached or affixed to it.
-
D.
developsAttachmentTo
Indicates that one entity forms an emotional bond or sense of connection toward another entity.
-
E.
supportsAttachments
Indicates that the subject is capable of handling or allowing the inclusion of file or data attachments in its operation or context.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:20 p.m.