Triple
T11736696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yibin |
E279044
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object | Cuiping District |
E954102
|
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: Cuiping District | Statement: [Yibin, hasAdministrativeDivision, Cuiping District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuiping District Context triple: [Yibin, hasAdministrativeDivision, Cuiping District]
-
A.
Cuiping District
chosen
Cuiping District is the central urban district and administrative seat of Yibin City in Sichuan Province, China.
-
B.
Zhifu District
Zhifu District is the central urban district and administrative, commercial, and cultural core of Yantai in Shandong Province, China.
-
C.
Xiuying District
Xiuying District is an urban administrative district of Haikou City on Hainan Island in southern China, known for its coastal location and role in the city's development.
-
D.
Pingzhen District
Pingzhen District is an urban district in northern Taiwan known as part of the rapidly developing Taoyuan metropolitan area.
-
E.
Linwei District
Linwei District is an urban administrative district in Weinan, Shaanxi Province, China, serving as the city's central political and economic 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f457f7be0081908f8e1760cc7b8294 |
completed | May 1, 2026, 7:36 a.m. |
Created at: April 8, 2026, 9:41 p.m.