Triple
T2814268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the Sibuyan Sea |
E54244
|
entity |
| Predicate | MusashiFate |
P20628
|
FINISHED |
| Object | sank in the Sibuyan Sea |
—
|
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: sank in the Sibuyan Sea | Statement: [Battle of the Sibuyan Sea, MusashiFate, sank in the Sibuyan Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MusashiFate Context triple: [Battle of the Sibuyan Sea, MusashiFate, sank in the Sibuyan Sea]
-
A.
fate
Indicates that an entity is destined or predetermined to experience a particular outcome or course of events beyond its control.
-
B.
AtsutaShrineIs
Indicates that something has the status, identity, or defining characteristics of Atsuta Shrine.
-
C.
SakaeIs
Indicates that one entity is identified as or classified as "Sakae" in relation to another entity or context.
-
D.
viewOnFate
Indicates a relationship where one entity holds a particular belief, attitude, or perspective about fate or predestination.
-
E.
fateLocation
chosen
Indicates the location where an entity ultimately ends up or meets its final outcome.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4ba34c819085a336498fc326b0 |
completed | March 7, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.