Triple
T1257325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low-Income Housing Tax Credit |
E12422
|
entity |
| Predicate | extendedUsePeriod |
P18992
|
FINISHED |
| Object | at least 30 years in many states |
—
|
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: at least 30 years in many states | Statement: [Low-Income Housing Tax Credit, extendedUsePeriod, at least 30 years in many states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extendedUsePeriod Context triple: [Low-Income Housing Tax Credit, extendedUsePeriod, at least 30 years in many states]
-
A.
extendedBy
Indicates that one entity builds upon, enlarges, or adds to the scope, functionality, or duration of another entity.
-
B.
renewalTerm
chosen
Indicates the length or conditions of time for which an agreement, contract, or subscription is extended beyond its initial term.
-
C.
plannedExtensionLength
Indicates the intended or proposed length of an extension as specified in a plan or design.
-
D.
usedUntil
Indicates that something remained in use or operation up to a specified time or event, after which it was no longer used.
-
E.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfa8cfa08190ac49c437a94a843c |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.