Triple
T10259624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P.C.I.J. Series A, No. 17 |
E240560
|
entity |
| Predicate | inCitationPractice |
P85858
|
FINISHED |
| Object | considered a leading case on reparations |
—
|
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: considered a leading case on reparations | Statement: [P.C.I.J. Series A, No. 17, inCitationPractice, considered a leading case on reparations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inCitationPractice Context triple: [P.C.I.J. Series A, No. 17, inCitationPractice, considered a leading case on reparations]
-
A.
citations
Indicates that one entity references another as a source of information, evidence, or authority, typically in a scholarly or informational context.
-
B.
usesCitation
Indicates that one entity supports or references its content by citing another entity as a source.
-
C.
citationSystem
Indicates a relationship where one entity specifies or uses a particular system, style, or standard for formatting and managing citations.
-
D.
citationOf
chosen
Indicates that one entity cites, references, or formally acknowledges another entity as a source.
-
E.
citationType
Indicates the specific kind or category of citation relationship that one entity has to another (e.g., reference, quotation, acknowledgment).
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:32 a.m.