Triple
T12723802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hung Hom |
E304052
|
entity |
| Predicate | hasRoadConnection |
P385
|
FINISHED |
| Object |
Hong Chong Road
Hong Chong Road is a major roadway in Hong Kong that serves as a key connector between Hung Hom and other parts of the city’s road network.
|
E1000955
|
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: Hong Chong Road | Statement: [Hung Hom, hasRoadConnection, Hong Chong Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hong Chong Road Context triple: [Hung Hom, hasRoadConnection, Hong Chong Road]
-
A.
Dong’an Road
Dong’an Road is a station on the Shanghai Metro system, serving passengers in the city’s central area.
-
B.
Yishan Road
Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui District of Shanghai, China.
-
C.
Cổ Linh Road
Cổ Linh Road is a major urban thoroughfare in Hanoi, Vietnam, serving as an important connector for the Bồ Đề area and surrounding districts.
-
D.
Changle Road
Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
-
E.
Wukang Road
Wukang Road is a historic, tree-lined street in Shanghai known for its well-preserved early 20th-century architecture and cultural landmarks.
- 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: Hong Chong Road Triple: [Hung Hom, hasRoadConnection, Hong Chong Road]
Generated description
Hong Chong Road is a major roadway in Hong Kong that serves as a key connector between Hung Hom and other parts of the city’s road network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hong Chong Road Target entity description: Hong Chong Road is a major roadway in Hong Kong that serves as a key connector between Hung Hom and other parts of the city’s road network.
-
A.
Dong’an Road
Dong’an Road is a station on the Shanghai Metro system, serving passengers in the city’s central area.
-
B.
Yishan Road
Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui District of Shanghai, China.
-
C.
Cổ Linh Road
Cổ Linh Road is a major urban thoroughfare in Hanoi, Vietnam, serving as an important connector for the Bồ Đề area and surrounding districts.
-
D.
Changle Road
Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
-
E.
Wukang Road
Wukang Road is a historic, tree-lined street in Shanghai known for its well-preserved early 20th-century architecture and cultural landmarks.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c841edc81909147d30c51471c47 |
completed | May 2, 2026, 10:36 p.m. |
| NEDg | Description generation | batch_69f67d663fd08190a00b30a7ff260c70 |
completed | May 2, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e0f48e4819085905564f5540f37 |
completed | May 2, 2026, 10:43 p.m. |
Created at: April 9, 2026, 5:25 p.m.