Triple
T18763290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chū-SAM |
E458828
|
entity |
| Predicate | successorVariant |
P16897
|
FINISHED |
| Object | Chū-SAM Kai |
—
|
NE NERFINISHED |
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: Chū-SAM Kai | Statement: [Chū-SAM, successorVariant, Chū-SAM Kai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chū-SAM Kai Context triple: [Chū-SAM, successorVariant, Chū-SAM Kai]
-
A.
Chū-SAM
chosen
Chū-SAM is a Japanese medium-range surface-to-air missile system designed to defend against aircraft and cruise missiles.
-
B.
Shubunka
Shubunka is a ruthless small-time racketeer and the central antihero of the 1947 film noir "The Gangster."
-
C.
Kizuki
Kizuki is a pivotal, emotionally fragile character in Haruki Murakami's novel "Norwegian Wood," whose death profoundly shapes the lives of those close to him.
-
D.
Hōshō
Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
-
E.
Yamagumo
Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d80a954819083946dafc0c7af05 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.