Triple
T4584224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Public Law 98-306 |
E101928
|
entity |
| Predicate | typeOfAwardAuthorized |
P8260
|
FINISHED |
| Object | civilian decoration |
—
|
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: civilian decoration | Statement: [U.S. Public Law 98-306, typeOfAwardAuthorized, civilian decoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAwardAuthorized Context triple: [U.S. Public Law 98-306, typeOfAwardAuthorized, civilian decoration]
-
A.
hasAwardedEntityType
Indicates that a particular type or category of entity is the recipient of an award or recognition.
-
B.
canAward
Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
-
C.
awardedStatus
Indicates that a particular status, honor, or designation has been formally granted to an entity.
-
D.
canBeAwardedTo
chosen
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
-
E.
awardTypeOverseen
Indicates that an entity is responsible for overseeing or managing a particular type or category of award.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd590411dc81909c55d1c42a4d44ef |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd522acbcc8190bf24d9517793a2c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.