Triple
T5682232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Lifesaving Medal |
E125224
|
entity |
| Predicate | awardedToNonUSCitizens |
P37791
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Silver Lifesaving Medal, awardedToNonUSCitizens, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedToNonUSCitizens Context triple: [Silver Lifesaving Medal, awardedToNonUSCitizens, true]
-
A.
awardedToForeigners
chosen
Indicates that an award, honor, or recognition is given to individuals who are not citizens or nationals of the awarding entity’s country.
-
B.
mayHoldCitizenshipOf
Indicates that an entity is allowed or eligible to possess citizenship status of a specified country or jurisdiction.
-
C.
hasTypicalCitizenship
Indicates that an entity is generally or commonly a citizen of a specified country or jurisdiction.
-
D.
requiresCitizenship
Indicates that one entity can only obtain, access, or participate in another entity if it holds citizenship of a specified country or jurisdiction.
-
E.
hasCitizenshipRestriction
Indicates that there is a legal or policy-based limitation on who can obtain or hold citizenship in a given context.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.