Triple
T32561870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 New York City subway shooting |
E832247
|
entity |
| Predicate | hasJuryTrial |
P158844
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1984 New York City subway shooting, hasJuryTrial, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJuryTrial Context triple: [1984 New York City subway shooting, hasJuryTrial, true]
-
A.
usesJury
chosen
Indicates that a legal proceeding or decision-making process is conducted with the participation of a jury.
-
B.
usesJuries
Indicates that a legal system, court, or process employs juries to participate in deciding cases or determining outcomes.
-
C.
hasJuryType
Indicates that an entity is associated with, or classified by, a specific type or category of jury.
-
D.
hasJurors
Indicates that one entity serves as or includes jurors in relation to another entity, typically in the context of a legal case or proceeding.
-
E.
hasNumberOfJurors
Indicates the relationship specifying how many jurors are associated with a given legal case, trial, or proceeding.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:03 a.m.