Triple
T3013638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Utility Regulatory Policies Act of 1978 |
E82280
|
entity |
| Predicate | createdConcept |
P201
|
FINISHED |
| Object | qualifying facility |
—
|
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: qualifying facility | Statement: [Public Utility Regulatory Policies Act of 1978, createdConcept, qualifying facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdConcept Context triple: [Public Utility Regulatory Policies Act of 1978, createdConcept, qualifying facility]
-
A.
introducedConcept
chosen
Indicates that one entity is responsible for presenting, defining, or bringing a new concept into use or awareness for another entity or context.
-
B.
inspirationConcept
Indicates that one concept serves as a source of inspiration or creative influence for another concept.
-
C.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
-
D.
createdFeature
Indicates that one entity brought another entity into existence or caused it to be produced as a feature.
-
E.
coreIdea
Indicates the central concept or primary message that underlies or unifies something, such as a text, argument, or work.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6883c081909b6b74f078e347b7 |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad961a97188190809dc73430a8eda8 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.