Triple
T204688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NLRB v. Jones & Laughlin Steel Corp. |
E4585
|
entity |
| Predicate | volumeOfUnitedStatesReports |
P3130
|
FINISHED |
| Object | 301 |
—
|
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: 301 | Statement: [NLRB v. Jones & Laughlin Steel Corp., volumeOfUnitedStatesReports, 301]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volumeOfUnitedStatesReports Context triple: [NLRB v. Jones & Laughlin Steel Corp., volumeOfUnitedStatesReports, 301]
-
A.
volumeInUnitedStatesReports
chosen
Indicates that a legal case or decision is published in a specified volume of the United States Reports.
-
B.
purchasedByUnitedStatesIn
Indicates that something was bought or acquired by the United States during a specified time period.
-
C.
allyOfUnitedStates
Indicates a relationship where an entity maintains a supportive, cooperative, or formally allied partnership with the United States.
-
D.
numberOfStates
Indicates the total count of distinct states or conditions associated with an entity or system.
-
E.
largestStateByPopulation
Indicates that the subject is the state with the highest population among a specified set of states or within a given region.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f46b4f081909e5ee3718109a71f |
completed | Feb. 28, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69a25b4b42ec8190bef16bbbdd30a742 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.