Triple
T2851351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maloelap Atoll |
E63097
|
entity |
| Predicate | wasBombedBy |
P20490
|
FINISHED |
| Object | United States forces during World War II |
—
|
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: United States forces during World War II | Statement: [Maloelap Atoll, wasBombedBy, United States forces during World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasBombedBy Context triple: [Maloelap Atoll, wasBombedBy, United States forces during World War II]
-
A.
wasBombedOn
Indicates that a location or target experienced a bombing event at a specific time or date.
-
B.
wasBombedDuring
Indicates that an entity was subjected to a bombing attack during a specified event or time period.
-
C.
cityBombed
Indicates that a particular city was subjected to a bombing attack.
-
D.
bombed
chosen
Indicates that one entity attacked another using explosive weapons, causing or intending to cause destruction or damage.
-
E.
wasBombardedDuring
Indicates that an entity was subjected to a bombardment (e.g., shelling, bombing, or heavy attack) during a specified event or time period.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5ca2648190bd32c6ec4b0dd3b6 |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.