Triple
T11417321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey State Prison |
E270526
|
entity |
| Predicate | statusOfExecutionsInNewJersey |
P99197
|
FINISHED |
| Object | abolished 2007 |
—
|
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: abolished 2007 | Statement: [New Jersey State Prison, statusOfExecutionsInNewJersey, abolished 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfExecutionsInNewJersey Context triple: [New Jersey State Prison, statusOfExecutionsInNewJersey, abolished 2007]
-
A.
statusInMaryland
Indicates that an entity holds a particular legal, regulatory, or operational status specifically within the jurisdiction of Maryland.
-
B.
courtStatus
Indicates the current legal or procedural state of a case or matter within a court system.
-
C.
judicialStatus
Indicates the legal or court-related condition or standing of an entity within a judicial process (e.g., pending, decided, appealed).
-
D.
statusInUnitedStates
Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
-
E.
workStatusInIsrael
Indicates the employment or legal work authorization status a person holds within Israel.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b0236c81908122ce3fc7b4fde7 |
completed | April 9, 2026, 7:44 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.