Triple
T21157125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Croaker (SS-246) |
E521340
|
entity |
| Predicate | earnedAward |
P107
|
FINISHED |
| Object | battle stars for World War II service |
—
|
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: battle stars for World War II service | Statement: [USS Croaker (SS-246), earnedAward, battle stars for World War II service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earnedAward Context triple: [USS Croaker (SS-246), earnedAward, battle stars for World War II service]
-
A.
returnedAward
Indicates that an entity has given back or relinquished a previously received award to the awarding party or institution.
-
B.
awardCurrency
Indicates that one entity grants or gives a specified amount of currency to another entity.
-
C.
awardFor
chosen
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
D.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
E.
awardEffect
Indicates that one entity confers or grants a benefit, recognition, or reward that has a particular impact or consequence on another entity.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7252c6db08190bcdffc3f2cfc6138 |
completed | April 21, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:59 p.m.