Triple
T26060343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Japan |
E657239
|
entity |
| Predicate | airRaidTarget |
P98001
|
FINISHED |
| Object | Nagasaki |
—
|
NE NERFINISHED |
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: Nagasaki | Statement: [Imperial Japan, airRaidTarget, Nagasaki]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airRaidTarget Context triple: [Imperial Japan, airRaidTarget, Nagasaki]
-
A.
battleTarget
chosen
Indicates that one entity is the chosen opponent or objective that another entity is engaging or intends to engage in battle.
-
B.
targetedAircraft
Indicates that one entity has selected or designated an aircraft as the object of an attack, tracking, or other directed action.
-
C.
airGroupCommanderAttacker
Indicates that the subject serves as the commanding officer of an air group that is carrying out an attack.
-
D.
targetedBuilding
Indicates that an entity intentionally directed an attack or operation toward a specific building.
-
E.
aircraftRoleTargeted
Indicates that an aircraft is specifically designated or selected as the target of an action, mission, or operation.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60691a4c081909a2589d00b68838d |
completed | May 2, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 7:16 p.m.