Triple
T415362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil Rights Act of 1875 |
E9579
|
entity |
| Predicate | sectionAddressed |
P14593
|
FINISHED |
| Object | equal enjoyment of public accommodations |
—
|
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: equal enjoyment of public accommodations | Statement: [Civil Rights Act of 1875, sectionAddressed, equal enjoyment of public accommodations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionAddressed Context triple: [Civil Rights Act of 1875, sectionAddressed, equal enjoyment of public accommodations]
-
A.
section
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
-
B.
address
Indicates that one entity directs spoken or written communication specifically to another entity.
-
C.
hasAddress
Indicates that an entity is associated with a specific address or location.
-
D.
governmentBodyAddressed
Indicates that a particular government body is the one being directly addressed or targeted by a communication, action, or request.
-
E.
section7Provides
Indicates that Section 7 serves as the source or provider of something (such as rights, obligations, benefits, or content) to another party or element.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edcff4688190809d83d112ff25a5 |
completed | Feb. 28, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69a2eeb8545c8190a2b8517e7ed5b92e |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.