Triple
T22997639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ping-tung County |
E572545
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mudan Township |
—
|
NE NERFINISHED |
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: Mudan Township | Statement: [Ping-tung County, contains, Mudan Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mudan Township Context triple: [Ping-tung County, contains, Mudan Township]
-
A.
Mudan Township
chosen
Mudan Township is a rural, mountainous indigenous township in southern Taiwan known for its Paiwan communities and scenic natural landscapes.
-
B.
Mudon Township
Mudon Township is an administrative township in southeastern Myanmar, situated in Mon State along the country’s southern coastal region.
-
C.
Tada-U Township
Tada-U Township is an administrative township in central Myanmar, located within the Mandalay Region.
-
D.
Wandan Township
Wandan Township is a rural administrative township located in Pingtung County in southern Taiwan, known for its agriculture and traditional Hakka culture.
-
E.
Nangan Township
Nangan Township is the main administrative and population center of Taiwan’s Matsu Islands, known for its military history, coastal scenery, and role as a frontline outpost near mainland China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f452b48190951fc5dde56c1bb2 |
completed | April 29, 2026, 4:03 a.m. |
Created at: April 17, 2026, 3:50 p.m.