Triple
T6758214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese cruiser Kinugasa |
E154516
|
entity |
| Predicate | roleAtGuadalcanal |
P73322
|
FINISHED |
| Object | bombardment of Henderson Field |
—
|
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: bombardment of Henderson Field | Statement: [Japanese cruiser Kinugasa, roleAtGuadalcanal, bombardment of Henderson Field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtGuadalcanal Context triple: [Japanese cruiser Kinugasa, roleAtGuadalcanal, bombardment of Henderson Field]
-
A.
roleAtPearlHarbor
Indicates the specific role, position, or function an entity held in relation to the events at Pearl Harbor.
-
B.
roleAtBattleOfMidway
Indicates the specific role, position, or function an entity held or performed during the Battle of Midway.
-
C.
roleAtTrafalgar
Indicates the specific role, position, or function an entity held during the Battle of Trafalgar.
-
D.
roleAtOkinawa
Indicates the specific role, position, or function an entity held in relation to the event or context of Okinawa.
-
E.
roleAtStalingrad
Indicates the specific role, position, or function an entity held in relation to the Battle of Stalingrad.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d3264b7481908816a4d19543fb7b |
completed | March 27, 2026, 6:57 p.m. |
Created at: March 27, 2026, 2:11 p.m.