Triple
T18735191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keyi Road station |
E458142
|
entity |
| Predicate | servesStreet |
P959
|
FINISHED |
| Object |
Keyi Road
Keyi Road is a street in Beijing, China, known for being served by the nearby Keyi Road subway station.
|
E1339606
|
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: Keyi Road | Statement: [Keyi Road station, servesStreet, Keyi Road]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keyi Road Context triple: [Keyi Road station, servesStreet, Keyi Road]
-
A.
Hailun Road
Hailun Road is a Shanghai Metro interchange station located in Hongkou District, serving as a stop on multiple urban rail lines.
-
B.
Yongkang Road
Yongkang Road is a popular street in Shanghai known for its lively bars, cafés, and expat-friendly nightlife within the former French Concession area.
-
C.
Xuying Road
Xuying Road is a metro station in Shanghai, China, serving passengers on the city's Line 17.
-
D.
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.
-
E.
Dehu Road
Dehu Road is a locality near Pune in Maharashtra, India, known for its proximity to major transport routes and military establishments.
- 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: Keyi Road Triple: [Keyi Road station, servesStreet, Keyi Road]
Generated description
Keyi Road is a street in Beijing, China, known for being served by the nearby Keyi Road subway station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keyi Road Target entity description: Keyi Road is a street in Beijing, China, known for being served by the nearby Keyi Road subway station.
-
A.
Hailun Road
Hailun Road is a Shanghai Metro interchange station located in Hongkou District, serving as a stop on multiple urban rail lines.
-
B.
Yongkang Road
Yongkang Road is a popular street in Shanghai known for its lively bars, cafés, and expat-friendly nightlife within the former French Concession area.
-
C.
Xuying Road
Xuying Road is a metro station in Shanghai, China, serving passengers on the city's Line 17.
-
D.
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.
-
E.
Dehu Road
Dehu Road is a locality near Pune in Maharashtra, India, known for its proximity to major transport routes and military establishments.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7ae10081908bc6857d1d147eef |
completed | April 20, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05325fae0c8190a7f1a726ad86e3b6 |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a0532ce7c388190a8d6b2d83ec52354 |
completed | May 14, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a053363f09c8190a7927345f1d027b3 |
completed | May 14, 2026, 2:28 a.m. |
Created at: April 10, 2026, 11:51 a.m.