Triple
T15067388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiwan Railways network |
E379789
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Yilan |
E376097
|
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: Yilan | Statement: [Taiwan Railways network, connects, Yilan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yilan Context triple: [Taiwan Railways network, connects, Yilan]
-
A.
Yilan County
chosen
Yilan County is a scenic coastal county in northeastern Taiwan known for its mountains, hot springs, and cultural festivals.
-
B.
Taitung City
Taitung City is a coastal urban center in southeastern Taiwan known for its indigenous cultures, scenic Pacific shoreline, and role as a gateway to nearby natural attractions and offshore islands.
-
C.
Pingtung City
Pingtung City is an urban center in southern Taiwan known as the political and economic hub of Pingtung County.
-
D.
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.
-
E.
Xinyi
Xinyi is a county-level city administered by Maoming in Guangdong Province, China, known for its agriculture and regional commerce.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeea750c819082d8823c9ab6c5a2 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef61cf80819096a3cb611f5af9fc |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:02 a.m.