Triple
T18778128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Congressman John Lewis |
E459183
|
entity |
| Predicate | supportedIssueArea |
P19912
|
FINISHED |
| Object | civil rights |
—
|
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: civil rights | Statement: [Office of Congressman John Lewis, supportedIssueArea, civil rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedIssueArea Context triple: [Office of Congressman John Lewis, supportedIssueArea, civil rights]
-
A.
supportArea
Indicates that one entity serves as a supporting region or surface that provides structural or functional backing for another entity.
-
B.
supportsMissionArea
Indicates that one entity contributes to, enables, or aligns with the objectives and activities of a specified mission area.
-
C.
supportsPolicyArea
chosen
Indicates that one entity endorses, advocates for, or is in favor of a particular policy area or domain of public policy.
-
D.
keyIssueArea
Indicates that something is a primary topic, domain, or field that is central or especially important within a broader context or discussion.
-
E.
supportsTechnologyArea
Indicates that one entity provides backing, resources, or endorsement for a particular technology area associated with another entity.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933c640081909bb6fbaa1a21d411 |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.