Triple
T15844013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jīlóng Shì |
E384168
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object | 基隆市 |
E1169715
|
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: 基隆市 | Statement: [Jīlóng Shì, hasChineseName, 基隆市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 基隆市 Context triple: [Jīlóng Shì, hasChineseName, 基隆市]
-
A.
基隆
chosen
基隆是位於臺灣北部的港口城市，以多雨氣候和重要海運樞紐地位聞名。
-
B.
新竹市
新竹市 is a city in northern Taiwan known for its high-tech industry hub, particularly the Hsinchu Science Park, and its strong education and research institutions.
-
C.
Yilan City
Yilan City is the county seat and main urban center of Yilan County in northeastern Taiwan, known for its hot springs, coastal scenery, and cultural festivals.
-
D.
臺北市
臺北市是臺灣的首都與最大都會區之一，為國家的政治、經濟、文化與交通中心。
-
E.
嘉義市
嘉義市 is a county-level city in southwestern Taiwan known for its cultural heritage, historic sites, and role as a gateway to the Alishan scenic area.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa1412c9481909808473e14058033 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.