Triple
T37506146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas v. Pennsylvania |
E932096
|
entity |
| Predicate | separateStatementBy |
P188171
|
FINISHED |
| Object | Justice Samuel A. Alito Jr. |
—
|
NE NERFINISHED |
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: Justice Samuel A. Alito Jr. | Statement: [Texas v. Pennsylvania, separateStatementBy, Justice Samuel A. Alito Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separateStatementBy Context triple: [Texas v. Pennsylvania, separateStatementBy, Justice Samuel A. Alito Jr.]
-
A.
separatesBy
Indicates that one entity divides, partitions, or creates a boundary between two or more other entities.
-
B.
separatedIn
Indicates that two or more entities, once together or associated, have been divided, split, or otherwise placed into distinct parts, groups, or locations.
-
C.
separatedInto
Indicates that something has been divided or split into distinct parts, groups, or components.
-
D.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
E.
separatesAt
Indicates that one entity divides or splits another entity into distinct parts at a specific point, boundary, or location.
- F. None of above. chosen
Provenance (4 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba5ee00fc81909be7b947a3f95034 |
completed | May 6, 2026, 8:34 p.m. |
Created at: May 3, 2026, 4:17 p.m.