Triple
T1272416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Pampanito |
E15737
|
entity |
| Predicate | roleAsMuseum |
P18644
|
FINISHED |
| Object | naval history education |
—
|
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: naval history education | Statement: [USS Pampanito, roleAsMuseum, naval history education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAsMuseum Context triple: [USS Pampanito, roleAsMuseum, naval history education]
-
A.
operatesMuseum
Indicates that one entity manages and runs the day-to-day operations of a museum.
-
B.
museumFocus
chosen
Indicates that a museum is primarily dedicated to or specializes in a particular subject, theme, or type of collection.
-
C.
museumAt
Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
-
D.
museumSection
Indicates that one entity is a section, area, or subdivision within a museum associated with the other entity.
-
E.
museOf
Indicates that one entity serves as the source of artistic or intellectual inspiration for another.
- 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.