Triple
T1127579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Rennell Island |
E24754
|
entity |
| Predicate | JapaneseLosses |
P684
|
FINISHED |
| Object | several attacking aircraft shot down |
—
|
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: several attacking aircraft shot down | Statement: [Battle of Rennell Island, JapaneseLosses, several attacking aircraft shot down]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapaneseLosses Context triple: [Battle of Rennell Island, JapaneseLosses, several attacking aircraft shot down]
-
A.
casualtiesJapan
Indicates that an event or action resulted in casualties (deaths and/or injuries) occurring in Japan.
-
B.
aircraftLostByJapan
chosen
Indicates that the specified aircraft were lost by Japan, typically through destruction, damage beyond repair, or disappearance.
-
C.
involvedShipJapan
Indicates that a ship associated with Japan was involved in the referenced event or activity.
-
D.
objectiveOfJapaneseForces
Indicates that a specified target, goal, or aim is the military objective pursued by Japanese forces.
-
E.
commanderJapan
Indicates that an entity serves as the military commander of Japan or of Japanese forces.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb48de2081909a0dce005b1c9df1 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.