Triple
T3874035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Nekka |
E92453
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Jehol |
E368337
|
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: Jehol | Statement: [Operation Nekka, location, Jehol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jehol Context triple: [Operation Nekka, location, Jehol]
-
A.
Jinhai
Jinhai is one of the co-pilots of the Jaeger Guardian Bravo in the Pacific Rim universe.
-
B.
Suiyuan
chosen
Suiyuan was a historical province in northern China that became a strategic battleground and occupied territory during Japan’s expansion into North China in the 1930s.
-
C.
Daqing River
The Daqing River is a major river in northern China that serves as one of the principal tributaries forming the Hai River system.
-
D.
Chaobai River
The Chaobai River is a major river in northern China that flows through Hebei Province and Beijing, contributing significantly to the Hai River basin and regional water resources.
-
E.
Luohe
Luohe is a prefecture-level city in central Henan Province, China, known as an important regional transport and industrial hub.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec59bea08190b1e193f34944a2ee |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5124cdf588190b3b83ee8fb29450a |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.