Triple
T1066510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confederate heritage organizations |
E23221
|
entity |
| Predicate | hasLegalInvolvement |
P4511
|
FINISHED |
| Object | lawsuits over monument removal |
—
|
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: lawsuits over monument removal | Statement: [Confederate heritage organizations, hasLegalInvolvement, lawsuits over monument removal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalInvolvement Context triple: [Confederate heritage organizations, hasLegalInvolvement, lawsuits over monument removal]
-
A.
hasLegalProceeding
Indicates that there is a formal legal action, case, or proceeding involving the related entities.
-
B.
hasLegalIssue
chosen
Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
-
C.
formerlyInvolved
Indicates that an entity previously participated in or was associated with another entity or activity, but is no longer involved.
-
D.
legalCase
Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
-
E.
associatedCourtCase
Indicates a relationship where one entity is linked to, or involved in, a particular court case.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b9e1047481909af1cf8df2a01fff |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b736f1e881909bace735b38c0ade |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.