Triple
T108418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Markets Tax Credit Program |
E2188
|
entity |
| Predicate | intendedOutcome |
P1415
|
FINISHED |
| Object | increase access to capital in underserved markets |
—
|
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: increase access to capital in underserved markets | Statement: [New Markets Tax Credit Program, intendedOutcome, increase access to capital in underserved markets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedOutcome Context triple: [New Markets Tax Credit Program, intendedOutcome, increase access to capital in underserved markets]
-
A.
hasPrimaryGoal
chosen
Indicates that an entity’s main or most important objective is the specified goal.
-
B.
secondaryGoal
Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
-
C.
result
Indicates that one entity is produced, caused, or brought about as an outcome or consequence of another entity or process.
-
D.
purpose
Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
-
E.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
- 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_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. |
Created at: Feb. 28, 2026, 2:20 a.m.