Triple
T20355093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luding County |
E496123
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Luqiao |
—
|
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: Luqiao | Statement: [Luding County, administrativeCenter, Luqiao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luqiao Context triple: [Luding County, administrativeCenter, Luqiao]
-
A.
Luqiao
chosen
Luqiao is the main town and administrative center of Luding County in Sichuan Province, China.
-
B.
Lengshuikeng
Lengshuikeng is a geothermal area in Taiwan’s Yangmingshan National Park known for its hot springs, sulfur vents, and volcanic landscapes.
-
C.
Jinqiao
Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
-
D.
Beixinqiao
Beixinqiao is a neighborhood and subway station area in central Beijing known for its traditional hutong streets, local eateries, and convenient access to several key city districts.
-
E.
Dongqing
Dongqing is a coastal village on Orchid Island in Taiwan, known for its indigenous Tao culture and scenic Pacific shoreline.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67852ca9881908a5af18005639859 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.