Triple
T7846137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Form W-3 |
E181926
|
entity |
| Predicate | containsSummaryOf |
P31882
|
FINISHED |
| Object | total wages reported on all attached Forms W-2 |
—
|
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: total wages reported on all attached Forms W-2 | Statement: [Form W-3, containsSummaryOf, total wages reported on all attached Forms W-2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSummaryOf Context triple: [Form W-3, containsSummaryOf, total wages reported on all attached Forms W-2]
-
A.
hasContentSummary
Indicates that an entity is associated with a brief descriptive summary of its content.
-
B.
summarizes
chosen
Indicates that one entity provides a concise representation or overview of the main points or content of another entity.
-
C.
reasoningSummary
Indicates that an entity provides a condensed explanation or overview of the reasoning or logical steps behind a conclusion, decision, or result.
-
D.
hasSummaryBranches
Indicates that an entity includes or is associated with summarized versions or high-level branches derived from more detailed components or structures.
-
E.
isComprehensive
Indicates that something fully covers all relevant aspects, elements, or details of a subject without significant omissions.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163f5da08190b7340ef4cc01cd19 |
completed | March 31, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:49 p.m.