Triple
T481213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Large Business and International Division |
E9169
|
entity |
| Predicate | typeOfTaxpayerCovered |
P14845
|
FINISHED |
| Object | large corporations |
—
|
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: large corporations | Statement: [Large Business and International Division, typeOfTaxpayerCovered, large corporations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTaxpayerCovered Context triple: [Large Business and International Division, typeOfTaxpayerCovered, large corporations]
-
A.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
B.
taxId
Indicates that an entity is associated with a specific taxonomic identifier used to uniquely reference its position in a taxonomic classification system.
-
C.
isSubjectTo
Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
-
D.
jurisdictionCovered
Indicates that a particular jurisdiction or legal authority is included within the scope or coverage of another entity, rule, or arrangement.
-
E.
exemptionType
Indicates the specific category or kind of exemption that applies in a given context.
- F. None of above. chosen
Provenance (4 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f058ebe48190aaa0a829b21f75fa |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf321288190b5d560f75782c2cb |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ef4030608190b39852b347a505ca |
completed | Feb. 28, 2026, 1:36 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.