Triple
T12594513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Center Force |
E300699
|
entity |
| Predicate | ship |
P880
|
FINISHED |
| Object | Takao |
E616898
|
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: Takao | Statement: [Center Force, ship, Takao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takao Context triple: [Center Force, ship, Takao]
-
A.
Takao
chosen
Takao was a lead Takao-class heavy cruiser of the Imperial Japanese Navy that served prominently in the Pacific Theater during World War II.
-
B.
Ōyama
Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
-
C.
Yagiyama
Yagiyama is a hilly district in Sendai, Japan, known for its zoo, amusement park, and scenic views over the city.
-
D.
Tōgane
Tōgane is a coastal city in Chiba Prefecture, Japan, known for its proximity to the long sandy stretch of Kujūkuri Beach along the Pacific Ocean.
-
E.
Yamashina
Yamashina is a Japanese noble family name historically associated with a cadet branch of the Imperial Family.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cde3c0819094e74413d6dcf548 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bab66488190a465e40f1181506e |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 9, 2026, 5:08 p.m.