Triple
T11324236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Action off Samar |
E268167
|
entity |
| Predicate | JapaneseNotableShip |
P3345
|
FINISHED |
| Object | Haruna |
E314408
|
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: Haruna | Statement: [Action off Samar, JapaneseNotableShip, Haruna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haruna Context triple: [Action off Samar, JapaneseNotableShip, Haruna]
-
A.
Haruna
chosen
Haruna was a Japanese Kongō-class fast battleship that served in the Imperial Japanese Navy during both World Wars and saw extensive action in the Pacific Theater.
-
B.
Yahata
Yahata was a former city in Fukuoka Prefecture, Japan, that became part of the larger city of Kitakyushu through municipal merger.
-
C.
Yasu
Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
-
D.
Narusawa
Narusawa is a village in Yamanashi Prefecture, Japan, located in the scenic Fuji Five Lakes region near Mount Fuji.
-
E.
Hara
Hara is a Japanese surname borne by various notable figures in politics, arts, and sports.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee864bf89081909fa336393e59f073 |
completed | April 26, 2026, 9:40 p.m. |
Created at: April 8, 2026, 9:32 p.m.