Triple
T19751852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stateville Correctional Center |
E474396
|
entity |
| Predicate | hasExecutionChamber |
P13925
|
FINISHED |
| Object | yes (historical) |
—
|
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: yes (historical) | Statement: [Stateville Correctional Center, hasExecutionChamber, yes (historical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExecutionChamber Context triple: [Stateville Correctional Center, hasExecutionChamber, yes (historical)]
-
A.
isChamber
Indicates that one entity functions as a chamber, room, or enclosed space in relation to another entity.
-
B.
hasChambersFor
chosen
Indicates that one entity contains or provides designated chambers or compartments intended for use by another entity.
-
C.
chamberInvolved
Indicates that a particular chamber (e.g., legislative or judicial body) participates in, is affected by, or plays a role in the referenced event, process, or relationship.
-
D.
appliesToChamber
Indicates that something is relevant or specifically associated with a particular chamber (such as a room, legislative body, or compartment).
-
E.
operatesInChamber
Indicates that an entity performs its functions or activities within a specified chamber or legislative body.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65299a7048190a9b22307ac06bd03 |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.