Triple
T13273287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5th Army Operations Center |
E316121
|
entity |
| Predicate | supportsCivilAuthorities |
P109266
|
FINISHED |
| Object | federal 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 agencies | Statement: [5th Army Operations Center, supportsCivilAuthorities, federal agencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCivilAuthorities Context triple: [5th Army Operations Center, supportsCivilAuthorities, federal agencies]
-
A.
supportedGovernment
Indicates that one entity provided assistance, endorsement, or backing to a particular government or governing authority.
-
B.
supportsGovernmentPower
Indicates that one entity endorses, upholds, or strengthens the authority and decision-making power of a government.
-
C.
supportsLevelOfGovernment
Indicates that one entity provides assistance, endorsement, or resources to a particular level or tier of government (such as local, regional, or national).
-
D.
supportedCouncil
Indicates that an entity provided backing, endorsement, or assistance to a council.
-
E.
allowsCivilianService
Indicates that an authority permits individuals to perform an alternative form of civilian service instead of regular military service.
- F. None of above. chosen
Provenance (4 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:26 p.m.