Triple
T38602727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CVS-14 |
E934257
|
entity |
| Predicate | associatedShipAward |
P206574
|
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: [CVS-14, associatedShipAward, battle stars for World War II service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedShipAward Context triple: [CVS-14, associatedShipAward, battle stars for World War II service]
-
A.
assistedShip
Indicates that one entity helped or supported a ship in performing an operation, task, or journey.
-
B.
shipOwnedOrCommanded
Indicates that an entity either owns a ship or serves as its commanding authority.
-
C.
shipsWith
Indicates that one entity is delivered, packaged, or provided together with another entity as part of the same shipment or bundle.
-
D.
shipAssociatedWith
Indicates that there is a relevant connection or involvement between a ship and another entity, such as ownership, operation, registration, or functional association.
-
E.
awardedToUnits
Indicates that something (such as a prize, honor, or recognition) has been granted or conferred to specific units (e.g., groups, divisions, or organizations).
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:32 p.m.