Triple
T25821632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interagency Training Center |
E650419
|
entity |
| Predicate | hadPurpose |
P124103
|
FINISHED |
| Object | to provide specialized interagency training |
—
|
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: to provide specialized interagency training | Statement: [Interagency Training Center, hadPurpose, to provide specialized interagency training]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPurpose Context triple: [Interagency Training Center, hadPurpose, to provide specialized interagency training]
-
A.
purpose
Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
-
B.
findsPurposeThrough
Indicates that one entity derives its sense of purpose, meaning, or fulfillment through its relationship with or actions involving another entity.
-
C.
traditionalPurpose
Indicates that something serves a role, function, or use that is established by long-standing custom or tradition.
-
D.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
E.
hasEstablishedPurpose
chosen
Indicates that an entity has a defined and recognized purpose or intended function already determined.
- 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_69f60191786c81908ee95f5d74dfe98a |
completed | May 2, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 7:30 a.m.