Triple
T14002413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changzhi |
E336861
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
长治
长治是位于中国山西省东南部的一座历史悠久的地级市，以煤炭资源和红色革命文化闻名。
|
E1075417
|
NE FINISHED |
How this triple was built (4 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: 长治 | Statement: [Changzhi, shortName, 长治]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 长治 Context triple: [Changzhi, shortName, 长治]
-
A.
Wolverhampton
Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
-
B.
Coventry
Coventry is a town in central Rhode Island known for its suburban communities, historic villages, and extensive outdoor recreation areas.
-
C.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
D.
Hereford
Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
-
E.
Hereford
Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 长治 Triple: [Changzhi, shortName, 长治]
Generated description
长治是位于中国山西省东南部的一座历史悠久的地级市，以煤炭资源和红色革命文化闻名。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 长治 Target entity description: 长治是位于中国山西省东南部的一座历史悠久的地级市，以煤炭资源和红色革命文化闻名。
-
A.
Wolverhampton
Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
-
B.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
C.
Coventry
Coventry is a town in central Rhode Island known for its suburban communities, historic villages, and extensive outdoor recreation areas.
-
D.
Hereford
Hereford is a small city in the Texas Panhandle known for its strong agricultural and cattle industry.
-
E.
Hereford
Hereford is a cathedral city in Herefordshire, England, known for its historic architecture and role as a military and agricultural center.
- F. None of above. chosen
Provenance (5 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_69fbc329891c8190b4dcb9913e235a1c |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc5964b7c8190babbb3bd50a1aaec |
completed | May 6, 2026, 10:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc912f0e08190be7c4f671b499c57 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 9, 2026, 10:19 p.m.