Triple
T9765481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mobile Fleet |
E236977
|
entity |
| Predicate | notableShip |
P3345
|
FINISHED |
| Object | Nagato |
E268170
|
NE 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: Nagato | Statement: [Mobile Fleet, notableShip, Nagato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagato Context triple: [Mobile Fleet, notableShip, Nagato]
-
A.
Nagato
chosen
Nagato was a famous Japanese battleship of the Imperial Japanese Navy, notable for serving as Admiral Yamamoto’s flagship during the attack on Pearl Harbor and later participating in major World War II engagements.
-
B.
Ōtomo
Ōtomo is a historical Japanese clan name borne by several notable aristocrats and poets in ancient Japan.
-
C.
Akiro
Akiro is a wise and skilled wizard who serves as one of Conan the Barbarian’s key companions in the film "Conan the Destroyer."
-
D.
Hatsuzuki
Hatsuzuki was an Imperial Japanese Navy Akizuki-class destroyer that saw action in World War II before being sunk during the Battle off Cape Engaño in 1944.
-
E.
Shoto
Shoto is an upscale residential neighborhood in Tokyo’s Shibuya ward, known for its quiet streets, cultural institutions, and affluent atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0a040988190b1c940f9e5c42f9c |
completed | April 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcf965e88190b505ce160f77e9b7 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.