Triple
T749498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legion of Merit |
E15414
|
entity |
| Predicate | campaignOrService |
P18756
|
FINISHED |
| Object | not limited to a specific campaign |
—
|
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: not limited to a specific campaign | Statement: [Legion of Merit, campaignOrService, not limited to a specific campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignOrService Context triple: [Legion of Merit, campaignOrService, not limited to a specific campaign]
-
A.
campaignType
Indicates the specific category or kind of campaign an entity is associated with or participates in.
-
B.
campaignManager
Indicates that one entity serves as the manager or coordinator responsible for planning, executing, and overseeing a campaign on behalf of another entity.
-
C.
campaignMethod
Indicates the method or approach used to conduct or deliver a campaign.
-
D.
campaign
Indicates that an entity actively organizes or conducts a coordinated effort or series of actions aimed at achieving a specific goal, often in political, commercial, or social contexts.
-
E.
campaignTheme
Indicates the central idea or message that characterizes and unifies a particular campaign.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a6304e0c8190827fb57c5cac2da9 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a5004f708190a984ee221716e19c |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a58c0a84819094f07658dc651b36 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.