Triple
T13049313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese battleship Musashi |
E327406
|
entity |
| Predicate | numberOfBombHits |
P20148
|
FINISHED |
| Object | more than 15 |
—
|
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: more than 15 | Statement: [Japanese battleship Musashi, numberOfBombHits, more than 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBombHits Context triple: [Japanese battleship Musashi, numberOfBombHits, more than 15]
-
A.
numberOfFailedBombs
Indicates the count of bombs associated with an entity that did not successfully detonate or function as intended.
-
B.
numberOfBombs
chosen
Indicates the quantity of bombs associated with a given entity or situation.
-
C.
numberOfExplosions
Indicates the count of distinct explosion events associated with an entity or situation.
-
D.
numberOfTorpedoesHit
Indicates the number of torpedoes that successfully struck a specified target.
-
E.
resultOfBombing
Indicates that something exists or occurs as a consequence or outcome of a bombing event.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:57 p.m.