Triple
T15665425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiwan Railways Administration |
E377173
|
entity |
| Predicate | operatesIn |
P82
|
FINISHED |
| Object | Chiayi |
E1144715
|
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: Chiayi | Statement: [Taiwan Railways Administration, operatesIn, Chiayi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiayi Context triple: [Taiwan Railways Administration, operatesIn, Chiayi]
-
A.
Chiayi
chosen
Chiayi is a city in southwestern Taiwan known as a gateway to the Alishan scenic area and for its role as a regional transportation and cultural hub.
-
B.
Xinyi
Xinyi is a county-level city administered by Maoming in Guangdong Province, China, known for its agriculture and regional commerce.
-
C.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
D.
Chiayi County
Chiayi County is a largely rural county in southwestern Taiwan known for its agriculture, cultural attractions, and proximity to scenic areas such as Alishan.
-
E.
Hualien City
Hualien City is a coastal urban center in eastern Taiwan known for its proximity to Taroko Gorge and its role as a regional transportation and tourism hub.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0f4df08190ad2c5d78e435d8eb |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bafb761881908e7a891ef390982a |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 4:16 a.m.