Triple
T18063414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Theater station |
E432234
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Shenzhen Development Center |
—
|
NE NERFINISHED |
How this triple was built (3 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: Shenzhen Development Center | Statement: [Grand Theater station, nearby, Shenzhen Development Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shenzhen Development Center Context triple: [Grand Theater station, nearby, Shenzhen Development Center]
-
A.
Shenzhen Research Institute of Tsinghua University
The Shenzhen Research Institute of Tsinghua University is a major research and innovation hub established by Tsinghua University in Shenzhen to promote advanced scientific research, technology transfer, and industry–academia collaboration in southern China.
-
B.
Shenzhen OCT Group
Shenzhen OCT Group is a major Chinese state-owned cultural and tourism conglomerate best known for developing and operating theme parks, resorts, and urban cultural attractions across China.
-
C.
Shenzhen Software Park
Shenzhen Software Park is a major high-tech and software industry hub in Shenzhen’s Nanshan District, hosting numerous technology companies, startups, and research institutions.
-
D.
Tsinghua-Berkeley Shenzhen Institute
The Tsinghua-Berkeley Shenzhen Institute is a joint research and education institute established by Tsinghua University and the University of California, Berkeley in Shenzhen to foster interdisciplinary innovation and international collaboration.
-
E.
Shenzhen Campus
Shenzhen Campus is a branch campus of Sun Yat-sen University located in Shenzhen, China, focusing on innovative research and interdisciplinary education.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shenzhen Development Center Target entity description: Shenzhen Development Center is a major commercial and office complex in Shenzhen, China, located in the city’s central business district.
-
A.
Shenzhen Research Institute of Tsinghua University
The Shenzhen Research Institute of Tsinghua University is a major research and innovation hub established by Tsinghua University in Shenzhen to promote advanced scientific research, technology transfer, and industry–academia collaboration in southern China.
-
B.
Shenzhen OCT Group
Shenzhen OCT Group is a major Chinese state-owned cultural and tourism conglomerate best known for developing and operating theme parks, resorts, and urban cultural attractions across China.
-
C.
Shenzhen Software Park
Shenzhen Software Park is a major high-tech and software industry hub in Shenzhen’s Nanshan District, hosting numerous technology companies, startups, and research institutions.
-
D.
Tsinghua-Berkeley Shenzhen Institute
The Tsinghua-Berkeley Shenzhen Institute is a joint research and education institute established by Tsinghua University and the University of California, Berkeley in Shenzhen to foster interdisciplinary innovation and international collaboration.
-
E.
Shenzhen Campus
Shenzhen Campus is a branch campus of Sun Yat-sen University located in Shenzhen, China, focusing on innovative research and interdisciplinary education.
- F. None of above. chosen
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce5d2188190ba77d06061d6e77a |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.