Triple
T37617411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Parks Congressional Gold Medal Act |
E935961
|
entity |
| Predicate | highestCivilianHonorOf |
P83638
|
FINISHED |
| Object | United States Congress |
—
|
NE NERFINISHED |
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: United States Congress | Statement: [Rosa Parks Congressional Gold Medal Act, highestCivilianHonorOf, United States Congress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestCivilianHonorOf Context triple: [Rosa Parks Congressional Gold Medal Act, highestCivilianHonorOf, United States Congress]
-
A.
highestCivilianAward
chosen
Indicates that one entity is recognized as the most prestigious civilian honor conferred by another entity.
-
B.
highestStateHonorOf
Indicates that one entity is the most prestigious state-level honor or award conferred by the other entity.
-
C.
highestMilitaryDecoration
Indicates that the object is the most prestigious military award or honor that has been conferred upon the subject.
-
D.
honoursCivilianService
Indicates recognition or commemoration of an individual's non-military contributions or service to society.
-
E.
secondHighestCivilianAwardIn
Indicates that an entity is the second highest-ranking civilian award conferred within a specified country or jurisdiction.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdd5fba5048190b7d430ae2054a1fd |
completed | May 8, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69fdd35f76f88190a1854ea27132f9c7 |
completed | May 8, 2026, 12:13 p.m. |
Created at: May 3, 2026, 4:18 p.m.