Triple
T26826687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Correctional Institution, Terre Haute |
E675391
|
entity |
| Predicate | isForSentencedPrisoners |
P64634
|
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: [Federal Correctional Institution, Terre Haute, isForSentencedPrisoners, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isForSentencedPrisoners Context triple: [Federal Correctional Institution, Terre Haute, isForSentencedPrisoners, true]
-
A.
isForConvictedOffenders
chosen
Indicates that something is intended to apply to, be used by, or be relevant for individuals who have been legally convicted of offenses.
-
B.
isPenalInstitution
Indicates that an entity functions as a facility where individuals are legally confined as punishment or while awaiting legal proceedings.
-
C.
usedForImprisoning
Indicates that something serves as a means, tool, or method for confining or detaining someone against their will.
-
D.
hasPrison
Indicates that one entity possesses, contains, or is the location of a prison associated with another entity.
-
E.
hasPrisonService
Indicates that an entity provides, manages, or is responsible for prison-related services or operations for another entity.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61ad8d3348190a3cb44103dce1995 |
completed | May 2, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 4:59 a.m.