Triple
T14002506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinzhong |
E336863
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Yuci District |
E1139646
|
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: Yuci District | Statement: [Jinzhong, hasSubdivision, Yuci District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuci District Context triple: [Jinzhong, hasSubdivision, Yuci District]
-
A.
Yuci District
chosen
Yuci District is an urban district in central Shanxi Province, China, known as the core administrative and economic area of the prefecture-level city of Jinzhong.
-
B.
Kuiwen District
Kuiwen District is an urban administrative district and commercial center of Weifang City in Shandong Province, China.
-
C.
Zhifu District
Zhifu District is the central urban district and administrative, commercial, and cultural core of Yantai in Shandong Province, China.
-
D.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
E.
Chengguan District
Chengguan District is the central urban district of Lhasa, serving as the political, economic, and cultural core of the Tibet Autonomous Region's capital city.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed06a50819093ddc64f55050689 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31670a48190a606e812a2aa0a6e |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 9, 2026, 10:19 p.m.