Triple
T34445912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DCS |
E884224
|
entity |
| Predicate | typeOfFacilityManaged |
P2836
|
FINISHED |
| Object | prisons |
—
|
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: prisons | Statement: [DCS, typeOfFacilityManaged, prisons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFacilityManaged Context triple: [DCS, typeOfFacilityManaged, prisons]
-
A.
homeFacilityManaged
Indicates that one facility serves as the primary or home location that is overseen, administered, or operated by a managing organization or entity.
-
B.
designedFacilityType
Indicates the type or category of facility that something (such as a plan, system, or component) is specifically designed for.
-
C.
hasFacilityType
chosen
Indicates that an entity possesses or is associated with a specific type or category of facility.
-
D.
brandOfFacility
Indicates that a particular brand is associated with, operates, or owns a given facility.
-
E.
typeOfEquipmentManaged
Indicates the specific kind or category of equipment that an entity is responsible for managing.
- 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a01378bf05c8190af9f5e06a2810c7d |
completed | May 11, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_6a0137277c6c8190bcec341f2a0757c4 |
completed | May 11, 2026, 1:55 a.m. |
Created at: May 1, 2026, 2 a.m.