Triple
T27708628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 111-5 |
E698617
|
entity |
| Predicate | includesProgramArea |
P91017
|
FINISHED |
| Object | infrastructure spending |
—
|
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: infrastructure spending | Statement: [Public Law 111-5, includesProgramArea, infrastructure spending]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesProgramArea Context triple: [Public Law 111-5, includesProgramArea, infrastructure spending]
-
A.
partOfProgramArea
Indicates that one entity functions as a sub-area or component within a broader program area.
-
B.
includesAreaOf
Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
-
C.
includesCapabilityArea
chosen
Indicates that one entity encompasses or contains a specific capability area as part of its overall scope or functionality.
-
D.
isPartOfFunctionalArea
Indicates that one entity belongs to, or is included within, a specific functional area or domain of activity.
-
E.
isPartOfPolicyArea
Indicates that one policy, topic, or issue belongs to, falls under, or is categorized within a broader policy area or domain.
- 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: April 27, 2026, 3:01 p.m.