Triple
T8803230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | heavy cruiser Chōkai |
E209459
|
entity |
| Predicate | roleAtSavoIsland |
P84708
|
FINISHED |
| Object | flagship of Vice Admiral Gunichi Mikawa |
—
|
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: flagship of Vice Admiral Gunichi Mikawa | Statement: [heavy cruiser Chōkai, roleAtSavoIsland, flagship of Vice Admiral Gunichi Mikawa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtSavoIsland Context triple: [heavy cruiser Chōkai, roleAtSavoIsland, flagship of Vice Admiral Gunichi Mikawa]
-
A.
roleAtOkinawa
Indicates the specific role, position, or function an entity held in relation to the event or context of Okinawa.
-
B.
roleAsPlace
Indicates that an entity functions or is used as a place or location in relation to another entity or event.
-
C.
roleAtMidway
Indicates that an entity holds or held a specific role, position, or function at the midpoint or intermediate stage of a process, event, or time period.
-
D.
nativeIsland
Indicates that an entity originates from or is a native inhabitant of a particular island.
-
E.
roleInManchuria
Indicates that an entity holds or held a specific role, position, or function in the context of Manchuria.
- F. None of above. chosen
Provenance (4 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fbb5b108190a9f889d40aa20521 |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1f28ec8190a34311cb412920c2 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cff3608819081d2d7e5c16d44b7 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:44 p.m.