Triple
T108394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Markets Tax Credit Program |
E2188
|
entity |
| Predicate | creditSchedule |
P7912
|
FINISHED |
| Object | 5 percent annually for the first 3 years |
—
|
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: 5 percent annually for the first 3 years | Statement: [New Markets Tax Credit Program, creditSchedule, 5 percent annually for the first 3 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creditSchedule Context triple: [New Markets Tax Credit Program, creditSchedule, 5 percent annually for the first 3 years]
-
A.
charge
Indicates that one entity formally accuses another of an offense or imposes a financial cost or obligation on them.
-
B.
chargeOftenUsed
Indicates that an entity is frequently subjected to or associated with a particular charge (such as a legal, financial, or electrical charge).
-
C.
settlementPattern
Indicates how human dwellings or communities are spatially arranged and distributed across a geographic area.
-
D.
penaltyProvision
Indicates that a rule, contract, or law includes a clause specifying a punishment or sanction for non-compliance or violation.
-
E.
startDate
Indicates the point in time when an event, state, or relationship begins.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a25a1199ac8190ac65ffaaf45b4f5b |
completed | Feb. 28, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69a2563e7188819091e9a94e071991d7 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a25a10d6448190bee47847d5c13b84 |
completed | Feb. 28, 2026, 2:59 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.