Triple
T108385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Markets Tax Credit Program |
E2188
|
entity |
| Predicate | targets |
P860
|
FINISHED |
| Object | low-income communities |
—
|
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: low-income communities | Statement: [New Markets Tax Credit Program, targets, low-income communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targets Context triple: [New Markets Tax Credit Program, targets, low-income communities]
-
A.
target
chosen
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
B.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
C.
targetMarket
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
-
D.
attracts
Indicates that one entity exerts a force or influence that draws another entity toward it.
-
E.
secondaryGoal
Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
- 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.