Triple
T11324220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Action off Samar |
E268167
|
entity |
| Predicate | JapaneseShipTypeInvolved |
P8971
|
FINISHED |
| Object | battleship |
—
|
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: battleship | Statement: [Action off Samar, JapaneseShipTypeInvolved, battleship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapaneseShipTypeInvolved Context triple: [Action off Samar, JapaneseShipTypeInvolved, battleship]
-
A.
involvedShipJapan
Indicates that a ship associated with Japan was involved in the referenced event or activity.
-
B.
GermanShipFate
Indicates the ultimate outcome or disposition of a German ship, such as whether it was sunk, captured, scuttled, or otherwise ended its service.
-
C.
shipTypeInvolved
chosen
Indicates that a particular type or class of ship is involved or participates in a specified event, situation, or relationship.
-
D.
dispositionOfShips
Indicates the arrangement, allocation, or positioning of ships relative to a plan, location, or situation.
-
E.
JapaneseForceType
Indicates that an entity is classified as a type of Japanese military or armed force.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.