Triple
T303243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Industrial Recovery Act |
E6242
|
entity |
| Predicate | titleIFocus |
P11303
|
FINISHED |
| Object | industrial codes and fair competition |
—
|
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: industrial codes and fair competition | Statement: [National Industrial Recovery Act, titleIFocus, industrial codes and fair competition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleIFocus Context triple: [National Industrial Recovery Act, titleIFocus, industrial codes and fair competition]
-
A.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
B.
titleType
Indicates the specific category or kind of title associated with an entity (e.g., whether it is a main title, alternative title, working title, etc.).
-
C.
titleSystem
Indicates that a system assigns or holds a formal title or designation for an entity.
-
D.
titleStatus
Indicates the current legal or administrative state of a title (such as ownership, validity, or processing stage) in relation to an entity or record.
-
E.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
- F. None of above. chosen
Provenance (4 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93c367881908d3f6e2b81d44d7f |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.