Triple
T30884239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Ilu River |
E786713
|
entity |
| Predicate | commanderJapanFate |
P182848
|
FINISHED |
| Object | Kiyonao Ichiki killed in action |
—
|
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: Kiyonao Ichiki killed in action | Statement: [Battle of Ilu River, commanderJapanFate, Kiyonao Ichiki killed in action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commanderJapanFate Context triple: [Battle of Ilu River, commanderJapanFate, Kiyonao Ichiki killed in action]
-
A.
commanderJapan
Indicates that an entity serves as the military commander of Japan or of Japanese forces.
-
B.
JapaneseAirCommander
Indicates that one entity serves as a Japanese air force commander in relation to another entity or context.
-
C.
JapaneseForceType
Indicates that an entity is classified as a type of Japanese military or armed force.
-
D.
JapanCaptain
Indicates that an entity serves as the captain or leading representative of a Japanese team, group, or delegation.
-
E.
JapaneseUnit
Indicates that an entity is a unit of measurement or organization that is specific to or used within Japan.
- F. None of above. chosen
Provenance (4 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_69f224bbfa7c81908448e0c261c523e3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: April 29, 2026, 8:48 p.m.