Triple
T35518119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAR company |
E1026472
|
entity |
| Predicate | supportedEchelon |
P207022
|
FINISHED |
| Object | Marine division |
—
|
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: Marine division | Statement: [LAR company, supportedEchelon, Marine division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedEchelon Context triple: [LAR company, supportedEchelon, Marine division]
-
A.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
-
B.
supportsReach
Indicates that one entity enables, facilitates, or maintains the ability of another entity to extend its influence, access, or coverage to additional targets or areas.
-
C.
supportsBrigade
Indicates that one entity provides assistance, resources, or backing to a brigade in carrying out its functions or operations.
-
D.
supportsTeamLevel
Indicates that one entity provides assistance, resources, or endorsement to a team as a whole rather than to individual members.
-
E.
supportsEP
Indicates that one entity provides assistance, resources, or endorsement to another entity’s emergency preparedness (EP) efforts or program.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:04 p.m.