Triple
T2660180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathews v. Eldridge |
E54707
|
entity |
| Predicate | pageInReporter |
P1468
|
FINISHED |
| Object | 319 |
—
|
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: 319 | Statement: [Mathews v. Eldridge, pageInReporter, 319]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pageInReporter Context triple: [Mathews v. Eldridge, pageInReporter, 319]
-
A.
pages
chosen
Indicates that one entity consists of or contains a certain number of pages, or that a specific page-related attribute is associated with it.
-
B.
reportPublisher
Indicates that one entity is the organization or individual responsible for publishing a given report.
-
C.
webPage
Indicates that one entity is a web page associated with, describing, or providing information about another entity.
-
D.
reporter
Indicates that an entity acts in the role of a reporter, typically gathering, writing, or presenting information or news about another entity or event.
-
E.
reporterType
Indicates the specific role or category of reporter associated with an entity or event.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94f3b1881909bd36cfe61c254a5 |
completed | March 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.