Triple
T10694507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiyan City |
E252098
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Shíyàn Shì |
E213309
|
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: Shíyàn Shì | Statement: [Shiyan City, romanization, Shíyàn Shì]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shíyàn Shì Context triple: [Shiyan City, romanization, Shíyàn Shì]
-
A.
Shíyàn
chosen
Shíyàn is the Hanyu Pinyin romanization of the Chinese city name Shiyan, located in Hubei Province, China.
-
B.
Xichang
Xichang is a city in Sichuan Province, China, known as a major hub for the country’s space launch activities and related aerospace industry.
-
C.
Liupanshui
Liupanshui is a major industrial and mining city in western Guizhou Province, China, known for its coal resources, cool climate, and mountainous karst landscape.
-
D.
Zunhua City
Zunhua City is a county-level city in northeastern Hebei Province, China, known for its historical sites and administrative affiliation with the prefecture-level city of Tangshan.
-
E.
Jīlóng Shì
Jīlóng Shì is the Mandarin Chinese pinyin name for Keelung City, a major port city in northern Taiwan.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd39c3788190bb7cd0acf8b6efdd |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55621a88c8190b9611bf9e3b307de |
completed | April 19, 2026, 10:24 p.m. |
Created at: April 8, 2026, 9:11 p.m.