Triple
T1272417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Pampanito |
E15737
|
entity |
| Predicate | roleAsMemorial |
P501
|
FINISHED |
| Object | memorial to submariners lost in World War II |
—
|
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: memorial to submariners lost in World War II | Statement: [USS Pampanito, roleAsMemorial, memorial to submariners lost in World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAsMemorial Context triple: [USS Pampanito, roleAsMemorial, memorial to submariners lost in World War II]
-
A.
hasMemorial
chosen
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
B.
commemoratesRoleAs
Indicates that something serves to honor or recognize a specific role or position held by an entity.
-
C.
memorialization
Indicates the act of preserving the memory or honoring the legacy of someone or something, often through a dedicated object, event, or practice.
-
D.
memorialType
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
-
E.
memorialName
Indicates that a memorial is known by or designated with a particular name.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06c033081909bc594157abaf5bb |
completed | March 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.