Triple
T7854886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese carrier Zuiho |
E182147
|
entity |
| Predicate | roleAtLeyteGulf |
P79378
|
FINISHED |
| Object | decoy carrier in Northern Force |
—
|
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: decoy carrier in Northern Force | Statement: [Japanese carrier Zuiho, roleAtLeyteGulf, decoy carrier in Northern Force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtLeyteGulf Context triple: [Japanese carrier Zuiho, roleAtLeyteGulf, decoy carrier in Northern Force]
-
A.
roleAtGuadalcanal
Indicates the specific role, position, or function an entity held in relation to the Battle of Guadalcanal.
-
B.
roleAtPearlHarbor
Indicates the specific role, position, or function an entity held in relation to the events at Pearl Harbor.
-
C.
roleAtBattleOfMidway
Indicates the specific role, position, or function an entity held or performed during the Battle of Midway.
-
D.
roleAtTrafalgar
Indicates the specific role, position, or function an entity held during the Battle of Trafalgar.
-
E.
roleInSpanishAmericanWar
Indicates the specific function, position, or involvement an entity had in the events or activities of the Spanish–American War.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a72cfdc8190a3186c4c2894f571 |
completed | March 31, 2026, 12:50 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:51 p.m.