Triple
T1605571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social Security wage base limit |
E34495
|
entity |
| Predicate | isPortionOf |
P24673
|
FINISHED |
| Object | FICA rules |
—
|
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: FICA rules | Statement: [Social Security wage base limit, isPortionOf, FICA rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPortionOf Context triple: [Social Security wage base limit, isPortionOf, FICA rules]
-
A.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
B.
isPartOfType
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
C.
isNotPartOf
Indicates that one entity does not belong to, is not contained within, and is not a component or member of another entity.
-
D.
usedInPartOf
Indicates that something is utilized or plays a functional role within a specific component or subpart of a larger whole.
-
E.
partOfConcept
chosen
Indicates that one concept is a constituent or component of a larger, more encompassing concept.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.