Triple
T12146562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese aircraft carrier Hiryū |
E289336
|
entity |
| Predicate | roleInMidway |
P11093
|
FINISHED |
| Object | launched strikes against U.S. forces at Midway |
—
|
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: launched strikes against U.S. forces at Midway | Statement: [Japanese aircraft carrier Hiryū, roleInMidway, launched strikes against U.S. forces at Midway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMidway Context triple: [Japanese aircraft carrier Hiryū, roleInMidway, launched strikes against U.S. forces at Midway]
-
A.
roleAtMidway
chosen
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.
-
B.
roleInMedina
Indicates the specific function, position, or responsibility an entity holds within the context of Medina.
-
C.
roleInGameplay
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
-
D.
roleInBladeII
Indicates that an entity has a specific role or participation in the movie "Blade II."
-
E.
roleInDialogue
Indicates that an entity participates in a dialogue with a specific conversational role (e.g., speaker, listener, moderator) relative to other participants.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.