Triple
T1579415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Tenaru |
E33726
|
entity |
| Predicate | primaryTacticUsedByJapanese |
P30685
|
FINISHED |
| Object | frontal human-wave assault |
—
|
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: frontal human-wave assault | Statement: [Battle of the Tenaru, primaryTacticUsedByJapanese, frontal human-wave assault]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTacticUsedByJapanese Context triple: [Battle of the Tenaru, primaryTacticUsedByJapanese, frontal human-wave assault]
-
A.
objectiveOfJapaneseForces
Indicates that a specified target, goal, or aim is the military objective pursued by Japanese forces.
-
B.
militaryTacticsUsed
chosen
Indicates that specific military tactics are employed or applied in the context of a particular operation, conflict, or strategic situation.
-
C.
commanderJapan
Indicates that an entity serves as the military commander of Japan or of Japanese forces.
-
D.
casualtiesJapan
Indicates that an event or action resulted in casualties (deaths and/or injuries) occurring in Japan.
-
E.
JapaneseAirCommander
Indicates that one entity serves as a Japanese air force commander in relation to another entity or context.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:27 p.m.