Triple
T18964240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hefei–Anqing High-Speed Railway |
E463990
|
entity |
| Predicate | endPoint |
P390
|
FINISHED |
| Object | Anqing |
—
|
NE NERFINISHED |
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: Anqing | Statement: [Hefei–Anqing High-Speed Railway, endPoint, Anqing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anqing Context triple: [Hefei–Anqing High-Speed Railway, endPoint, Anqing]
-
A.
Anqing
chosen
Anqing is a prefecture-level city in southwestern Anhui Province, China, known historically as a regional political and military center along the Yangtze River.
-
B.
Hefei
Hefei is the capital and largest city of Anhui Province in eastern China, known as a major industrial, scientific, and educational center.
-
C.
Chizhou
Chizhou is a prefecture-level city in southeastern China known for its proximity to the scenic Mount Jiuhua, one of the four sacred mountains of Chinese Buddhism.
-
D.
Ruijin
Ruijin is a county-level city in southeastern China historically known as the "Cradle of the Chinese Revolution" for its role as an early center of Communist activity and the starting point of the Long March.
-
E.
Tongling
Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d5365881909dcbb4988d273b24 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon