Triple
T14196523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Marine |
E351850
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | China |
E5561
|
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: China | Statement: [China Marine, setting, China]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Context triple: [China Marine, setting, China]
-
A.
China
chosen
China is a vast East Asian country known for its long continuous civilization, large population, and major global economic and political influence.
-
B.
Kinas
Kinas is the official rooster mascot created for the UEFA Euro 2004 football championship held in Portugal.
-
C.
Çine
Çine is a district and town in southwestern Turkey known for its agricultural activities and location within Aydın Province in the Aegean region.
-
D.
Chung Kuo
"Chung Kuo" is an instrumental electronic music track by Vangelis from his 1979 album "China," evoking an atmospheric, synthesizer-driven portrait of China.
-
E.
kina
Kina is the official currency of Papua New Guinea, used for everyday transactions and financial activities throughout the country.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd280aaa1c8190a957dfc2c624e3f6 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:04 a.m.