Triple
T5609746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Marianas Turkey Shoot |
E147321
|
entity |
| Predicate | JapaneseDisadvantage |
P7340
|
FINISHED |
| Object | inexperienced Japanese carrier pilots |
—
|
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: inexperienced Japanese carrier pilots | Statement: [Great Marianas Turkey Shoot, JapaneseDisadvantage, inexperienced Japanese carrier pilots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapaneseDisadvantage Context triple: [Great Marianas Turkey Shoot, JapaneseDisadvantage, inexperienced Japanese carrier pilots]
-
A.
JapaneseAdvantage
Indicates that one party holds a comparative advantage or superior position specifically in a Japanese context (e.g., language, market, culture, or environment) relative to another.
-
B.
japaneseVariant
Indicates that one entity is a Japanese-language or Japan-specific variant or version of another entity.
-
C.
disadvantage
chosen
Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
-
D.
JapaneseFormation
Indicates a relationship where something is formed, created, or organized according to Japanese style, methods, or origin.
-
E.
hasNameInJapanese
Indicates that an entity is associated with a specific name expressed in the Japanese language.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0211dfc88819097b6d4254a61f65a |
completed | March 22, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:39 p.m.