Triple
T26920756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timothy P. Villagomez |
E677638
|
entity |
| Predicate | governmentProgramInvolved |
P117496
|
FINISHED |
| Object | Northern Mariana Islands government procurement |
—
|
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: Northern Mariana Islands government procurement | Statement: [Timothy P. Villagomez, governmentProgramInvolved, Northern Mariana Islands government procurement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentProgramInvolved Context triple: [Timothy P. Villagomez, governmentProgramInvolved, Northern Mariana Islands government procurement]
-
A.
associatedWithGovernmentProgram
chosen
Indicates that an entity has a connection or involvement with a government-run program, initiative, or scheme.
-
B.
nationalProgram
Indicates that an entity is part of, associated with, or designated as a program organized or administered at the national level.
-
C.
applicablePrograms
Indicates that certain programs are relevant to, valid for, or can be applied in the context of a given entity or situation.
-
D.
supportingProgram
Indicates that one program provides assistance, resources, or backing to another program or initiative.
-
E.
agencyProgramme
Indicates that an agency is responsible for, manages, or is associated with a particular programme.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: April 27, 2026, 6:07 a.m.