Triple
T714488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zschernig v. Miller |
E14280
|
entity |
| Predicate | subsequentCitation |
P15322
|
FINISHED |
| Object | frequently cited in cases limiting state action in foreign affairs |
—
|
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: frequently cited in cases limiting state action in foreign affairs | Statement: [Zschernig v. Miller, subsequentCitation, frequently cited in cases limiting state action in foreign affairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentCitation Context triple: [Zschernig v. Miller, subsequentCitation, frequently cited in cases limiting state action in foreign affairs]
-
A.
subsequentCitationIn
Indicates that one work cites or references another work that appears later in a specified source or sequence.
-
B.
subsequentCitationBy
chosen
Indicates that one work is cited by another work that was produced or published at a later time.
-
C.
citationBy
Indicates that one work is cited or referenced by another work.
-
D.
subsequentDocument
Indicates that one document follows another in sequence, typically as a later or next installment, version, or related record.
-
E.
citesAs
Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5738e04819082eac673b3b7c4c2 |
completed | March 1, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f38898819089d79bad4f4ff2d2 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.