Triple
T19751834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stateville Correctional Center |
E474396
|
entity |
| Predicate | statusOfRoundhouse |
P137185
|
FINISHED |
| Object | closed |
—
|
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: closed | Statement: [Stateville Correctional Center, statusOfRoundhouse, closed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfRoundhouse Context triple: [Stateville Correctional Center, statusOfRoundhouse, closed]
-
A.
hasRound
Indicates that an entity possesses, includes, or is associated with a particular round (e.g., a round of an event, game, or process).
-
B.
reachedRound
Indicates that an entity has advanced to or attained a particular round or stage within a process, event, or competition.
-
C.
roundOfKnockdown
Indicates the specific round in which a knockdown event occurs during a fight or match.
-
D.
castleStatus
Indicates the current condition or state of a castle, such as whether it is intact, damaged, occupied, abandoned, or under construction.
-
E.
raceStatus
Indicates the current state or progress of an entity’s participation in a race or competitive event.
- 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_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. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:48 p.m.