Triple
T35049410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Albacore (SS-218) |
E1011286
|
entity |
| Predicate | lostInArea |
P145637
|
FINISHED |
| Object | off northern Hokkaido, Japan |
—
|
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: off northern Hokkaido, Japan | Statement: [USS Albacore (SS-218), lostInArea, off northern Hokkaido, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostInArea Context triple: [USS Albacore (SS-218), lostInArea, off northern Hokkaido, Japan]
-
A.
lostInRegion
chosen
Indicates that an entity has become lost or gone missing within a specified geographic region.
-
B.
lostIn
Indicates that an entity has become unable to find its way or is no longer in control or possession within a particular place, situation, or context.
-
C.
lostAt
Indicates that an entity ceased to be in possession of or unable to be found at a specific location or context.
-
D.
lostOn
Indicates that one entity was defeated by or failed against another entity in a competitive or comparative context.
-
E.
lostInAccident
Indicates that an entity was lost or destroyed as a result of an accident or unintended harmful 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f785ca8fa4819088713fd7a58fa229 |
completed | May 3, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.