Triple
T526986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NMTC Program |
E10940
|
entity |
| Predicate | taxCreditRate |
P7911
|
FINISHED |
| Object | 39 percent of the qualified equity investment |
—
|
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: 39 percent of the qualified equity investment | Statement: [NMTC Program, taxCreditRate, 39 percent of the qualified equity investment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxCreditRate Context triple: [NMTC Program, taxCreditRate, 39 percent of the qualified equity investment]
-
A.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
B.
taxAuthority
Indicates that an entity serves as the official body responsible for assessing, collecting, and enforcing taxes over another entity or within a jurisdiction.
-
C.
taxpayerBenefitForm
Indicates that there is a specific form documenting or enabling a benefit granted to a taxpayer.
-
D.
creditPercentage
chosen
Indicates the proportion or share of credit assigned to an entity in relation to a particular outcome, contribution, or transaction.
-
E.
positionOnTaxes
Indicates a stance or viewpoint an entity holds regarding tax policies or taxation issues.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d0d22081908aad915482d39e74 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0198ecc8190883849e5a8245963 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.