Triple
T48809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Pearl Harbor Remembrance Day |
E958
|
entity |
| Predicate | hasTag |
P2130
|
FINISHED |
| Object | U.S. military history |
—
|
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: U.S. military history | Statement: [National Pearl Harbor Remembrance Day, hasTag, U.S. military history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTag Context triple: [National Pearl Harbor Remembrance Day, hasTag, U.S. military history]
-
A.
hasMarker
chosen
Indicates that one entity possesses, is associated with, or is identified by a specific marker.
-
B.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
C.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
D.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
E.
hasCondition
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24c1a5c14819088748317a3f262c8 |
completed | Feb. 28, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69a24abfa7bc8190932c137a823efcb6 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.