Triple
T5831474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuzhou |
E129358
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object |
Fuchow
Fuchow is an older romanized spelling of Fuzhou, the capital city of Fujian Province in southeastern China.
|
E550813
|
NE FINISHED |
How this triple was built (4 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: Fuchow | Statement: [Fuzhou, romanization, Fuchow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuchow Context triple: [Fuzhou, romanization, Fuchow]
-
A.
Krasnov
Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
-
B.
Yudenich
Yudenich is a Russian surname most notably associated with General Nikolai Yudenich, a leading White movement commander during the Russian Civil War.
-
C.
Kurskaya
Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
-
D.
Chernyakhovsky
Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
-
E.
Kalinin Front
The Kalinin Front was a major Soviet Army group-level formation on the Eastern Front during World War II, active in key operations against Nazi Germany before being reorganized as the 1st Baltic Front.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fuchow Triple: [Fuzhou, romanization, Fuchow]
Generated description
Fuchow is an older romanized spelling of Fuzhou, the capital city of Fujian Province in southeastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fuchow Target entity description: Fuchow is an older romanized spelling of Fuzhou, the capital city of Fujian Province in southeastern China.
-
A.
Krasnov
Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
-
B.
Yudenich
Yudenich is a Russian surname most notably associated with General Nikolai Yudenich, a leading White movement commander during the Russian Civil War.
-
C.
Kurskaya
Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
-
D.
Chernyakhovsky
Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
-
E.
Kalinin Front
The Kalinin Front was a major Soviet Army group-level formation on the Eastern Front during World War II, active in key operations against Nazi Germany before being reorganized as the 1st Baltic Front.
- F. None of above. chosen
Provenance (5 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0346ac31c8190bbd28444f75da875 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a19010008190af5600a035246c1a |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a223129081908288d90f7cf51668 |
completed | March 23, 2026, 2:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a294ba748190a86ec8400df73237 |
completed | March 23, 2026, 2:16 a.m. |
Created at: March 22, 2026, 3:54 p.m.