Triple
T8919398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing–Shanghai railway |
E212372
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Taian |
E182132
|
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: Taian | Statement: [Beijing–Shanghai railway, connects, Taian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taian Context triple: [Beijing–Shanghai railway, connects, Taian]
-
A.
Taian
chosen
Taian is a prefecture-level city in eastern China's Shandong province, best known as the gateway to the sacred Mount Tai.
-
B.
Liáochéng
Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
-
C.
Taierzhuang
Taierzhuang is a historic town in eastern China’s Shandong province, best known as the site of a major Chinese victory over Japanese forces during the Second Sino-Japanese War.
-
D.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
E.
Tai Yuan
The Tai Yuan are a Tai-speaking ethnic group native to Northern Thailand, historically associated with the former Lanna Kingdom and known for their distinct language, culture, and traditions.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6613639881909090d060f388a865 |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02f88db0881909975af03ed2f3d84 |
completed | April 3, 2026, 9:22 p.m. |
Created at: March 30, 2026, 6:56 p.m.