Triple
T241044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resource Conservation and Recovery Act |
E4931
|
entity |
| Predicate | subtitleIFunction |
P2114
|
FINISHED |
| Object | regulation of underground storage tanks |
—
|
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: regulation of underground storage tanks | Statement: [Resource Conservation and Recovery Act, subtitleIFunction, regulation of underground storage tanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subtitleIFunction Context triple: [Resource Conservation and Recovery Act, subtitleIFunction, regulation of underground storage tanks]
-
A.
subtitle
Indicates that one work serves as a secondary or explanatory title to another, typically appearing beneath the main title.
-
B.
secondaryFunction
chosen
Indicates that an entity has an additional, supporting role or purpose beyond its primary function.
-
C.
subunitType
Indicates that one entity is a specific kind or classification of subunit within the structure or composition of another entity.
-
D.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
E.
subDisciplineOf
Indicates that one discipline is a more specialized or narrower field within another, broader discipline.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b60ad308190b12f119960a8bde7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.