Triple
T25821720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glynco Training Center |
E650421
|
entity |
| Predicate | servesAgencyType |
P44867
|
FINISHED |
| Object | federal law enforcement agencies |
—
|
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: federal law enforcement agencies | Statement: [Glynco Training Center, servesAgencyType, federal law enforcement agencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesAgencyType Context triple: [Glynco Training Center, servesAgencyType, federal law enforcement agencies]
-
A.
servesAgency
Indicates that one entity performs services or functions on behalf of, or under the authority of, an agency.
-
B.
isAgencyType
Indicates that an entity belongs to, or is classified under, a particular type or category of agency.
-
C.
organizationTypeServed
chosen
Indicates the type of organization that is served or supported by a given entity or activity.
-
D.
typeOfAgencyRegulated
Indicates that one entity is the kind or category of agency that is subject to regulation by another entity.
-
E.
belongsToAgency
Indicates that an entity is under the authority, control, or affiliation of a specific agency.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 22, 2026, 7:30 a.m.