Triple
T16386144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiding District |
E397926
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Pinglin District |
E444117
|
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: Pinglin District | Statement: [Shiding District, borderedBy, Pinglin District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinglin District Context triple: [Shiding District, borderedBy, Pinglin District]
-
A.
Pinglin District
chosen
Pinglin District is a rural, mountainous area in southeastern New Taipei City, Taiwan, best known for its tea production and scenic natural landscapes.
-
B.
Tiedong District
Tiedong District is an urban administrative district of Anshan City in Liaoning Province, northeastern China.
-
C.
Longyang District
Longyang District is the central urban district and administrative seat of Baoshan City in Yunnan Province, China.
-
D.
Bagongshan District
Bagongshan District is an urban administrative district of Huainan City in Anhui Province, China, known for its coal resources and industrial development.
-
E.
Beimen District
Beimen District is a coastal district in Tainan, Taiwan, known for its historic salt fields, wetlands, and traditional temples.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263d260081909db9ac6016d5738a |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00580fec0c8190b7fb73dbc637fb61 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:08 a.m.