Triple
T16538298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Angaur |
E401750
|
entity |
| Predicate | forceTypeJapan |
P85737
|
FINISHED |
| Object | Japanese Army garrison |
—
|
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: Japanese Army garrison | Statement: [Battle of Angaur, forceTypeJapan, Japanese Army garrison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forceTypeJapan Context triple: [Battle of Angaur, forceTypeJapan, Japanese Army garrison]
-
A.
JapaneseForceType
chosen
Indicates that an entity is classified as a type of Japanese military or armed force.
-
B.
JapaneseUnit
Indicates that an entity is a unit of measurement or organization that is specific to or used within Japan.
-
C.
JapaneseForceName
Indicates that an entity is known by a name used for a Japanese military or armed force.
-
D.
japaneseVariant
Indicates that one entity is a Japanese-language or Japan-specific variant or version of another entity.
-
E.
JapaneseFormation
Indicates a relationship where something is formed, created, or organized according to Japanese style, methods, or origin.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455a98b481909e489ea7bd01570a |
completed | April 18, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.