Triple
T17178211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qincheng Prison |
E416914
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object | 秦城监狱 |
E416914
|
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: 秦城监狱 | Statement: [Qincheng Prison, hasChineseName, 秦城监狱]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 秦城监狱 Context triple: [Qincheng Prison, hasChineseName, 秦城监狱]
-
A.
Qincheng Prison
chosen
Qincheng Prison is a high-security Chinese prison near Beijing, historically used to hold political prisoners and high-ranking officials.
-
B.
Jinzhou Prison
Jinzhou Prison is a Chinese detention facility in Liaoning Province known internationally for holding Nobel Peace Prize laureate and dissident Liu Xiaobo.
-
C.
Zhazidong Prison site
Zhazidong Prison site is a former Kuomintang secret prison in Chongqing, now preserved as a historical memorial to revolutionary martyrs and political prisoners.
-
D.
成城
成城 is an upscale residential neighborhood in Tokyo known for its quiet streets, affluent homes, and proximity to Seijo Gakuen educational institutions.
-
E.
中都
中都是中国历史上多座王朝曾经设立的都城名称之一，常用于指代金朝的首都（今北京一带）。
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ee5008190a73875b39841fd9f |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0148455afc8190931ba1316705ae0c |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.