Triple
T14386788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACCA |
E356742
|
entity |
| Predicate | hasPrecedentialEffect |
P40251
|
FINISHED |
| Object | within United States Army |
—
|
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: within United States Army | Statement: [ACCA, hasPrecedentialEffect, within United States Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrecedentialEffect Context triple: [ACCA, hasPrecedentialEffect, within United States Army]
-
A.
hasPrecedentialStatus
chosen
Indicates that one legal decision or authority possesses a recognized level of precedential force or binding effect relative to others.
-
B.
hasCourtPrecedence
Indicates that one court decision or ruling holds authoritative priority over another in legal reasoning or application.
-
C.
hasLegalEffect
Indicates that an action, document, or condition produces recognized legal consequences or enforceable rights and obligations.
-
D.
legalPrecedentInvolved
Indicates that a particular legal precedent (prior court decision or ruling) is relevant to, cited in, or forms the basis for the current legal matter or action.
-
E.
precedentInterpreted
Indicates that one legal precedent is interpreted or understood in a particular way, often as clarified or applied in subsequent decisions or analyses.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90283b9c8190b50d30ad58bfe085 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.