Triple
T4825730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzhou |
E107819
|
entity |
| Predicate | hasWaterTown |
P59883
|
FINISHED |
| Object |
Tongli
Tongli is an ancient canal town near Suzhou in China, renowned for its well-preserved stone bridges, traditional architecture, and network of waterways.
|
E316678
|
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: Tongli | Statement: [Suzhou, hasWaterTown, Tongli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tongli Context triple: [Suzhou, hasWaterTown, Tongli]
-
A.
Xiantao
Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
-
B.
Jinqiao
Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
-
C.
Liyang
Liyang is a county-level city in Jiangsu Province, China, known for its scenic attractions such as Tianmu Lake and its administration under the prefecture-level city of Changzhou.
-
D.
Xitang
Xitang is an ancient water town in eastern China renowned for its well-preserved canals, stone bridges, and traditional architecture.
-
E.
Tongling
Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
- 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: Tongli Triple: [Suzhou, hasWaterTown, Tongli]
Generated description
Tongli is an ancient canal town near Suzhou in China, renowned for its well-preserved stone bridges, traditional architecture, and network of waterways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tongli Target entity description: Tongli is an ancient canal town near Suzhou in China, renowned for its well-preserved stone bridges, traditional architecture, and network of waterways.
-
A.
Xiantao
Xiantao is a county-level city in central China’s Hubei province, known for its location on the Jianghan Plain and its role as a regional agricultural and industrial center.
-
B.
Jinqiao
Jinqiao is a subdistrict in Shanghai’s Pudong New Area known for its residential communities and growing commercial and industrial zones.
-
C.
Liyang
Liyang is a county-level city in Jiangsu Province, China, known for its scenic attractions such as Tianmu Lake and its administration under the prefecture-level city of Changzhou.
-
D.
Xitang
chosen
Xitang is an ancient water town in eastern China renowned for its well-preserved canals, stone bridges, and traditional architecture.
-
E.
Tongling
Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
- F. None of above.
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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7162427c81908a67a07545f698ae |
completed | March 20, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89d3358c8190bb85ec1835a9f095 |
completed | March 21, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_69be8b15879881908ec5ee997daca3cb |
completed | March 21, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8bc2fc088190a13995f9230adea2 |
completed | March 21, 2026, 12:14 p.m. |
Created at: March 20, 2026, 1:24 p.m.