Triple
T11159435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakes test |
E263994
|
entity |
| Predicate | firstStep |
P88947
|
FINISHED |
| Object | determine whether the objective of the impugned law is pressing and substantial |
—
|
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: determine whether the objective of the impugned law is pressing and substantial | Statement: [Oakes test, firstStep, determine whether the objective of the impugned law is pressing and substantial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstStep Context triple: [Oakes test, firstStep, determine whether the objective of the impugned law is pressing and substantial]
-
A.
firstStepIn
chosen
Indicates that one event, action, or process is the initial step in a larger sequence or procedure involving another.
-
B.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
-
C.
firstStageType
Indicates that one entity is the type or category of the first stage or initial phase associated with another entity.
-
D.
firstStageName
Indicates that one entity is the initial or earliest stage name associated with another entity in a sequence or lifecycle.
-
E.
firstStageDescription
Indicates that the value provides a textual explanation or summary of the initial or earliest stage in a multi-stage process or sequence.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8817a90819087820d5241c58851 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cec26fc8190a5497d186306f935 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.