Triple
T15729717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucheng District |
E381309
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object | 土城區 |
E963096
|
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: 土城區 | Statement: [Tucheng District, hasChineseName, 土城區]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 土城區 Context triple: [Tucheng District, hasChineseName, 土城區]
-
A.
土城區
chosen
土城區 is a suburban district in southwestern New Taipei City, Taiwan, known for its residential communities, industrial areas, and convenient transportation links to central Taipei.
-
B.
萬華區
萬華區是臺北市一個歷史悠久的市轄區，以傳統街區風貌與宗教文化景點聞名。
-
C.
中山區
中山區 is a central urban district of Taipei, Taiwan, known for its bustling commercial areas, hotels, and cultural attractions.
-
D.
南港區
南港區 is a district in eastern Taipei, Taiwan, known for its technology parks, transportation hubs, and a mix of industrial and residential areas.
-
E.
松山區
松山區 is a central district of Taipei, Taiwan, known for its bustling commercial areas, Songshan Airport, and the popular Raohe Street Night Market.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb61cb881908b158609c1ccfa1e |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82fcb4e4819097bd0591bbcc3b71 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.