Triple
T25896803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenzhen Stock Exchange building |
E652486
|
entity |
| Predicate | hasAddressDetail |
P4379
|
FINISHED |
| Object |
Fuhua Road vicinity (approximate)
Fuhua Road vicinity (approximate) refers to the central urban area around Fuhua Road in Shenzhen’s Futian District, known for its concentration of major financial and commercial landmarks.
|
E1699851
|
NE FINISHED |
How this triple was built (2 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: Fuhua Road vicinity (approximate) | Statement: [Shenzhen Stock Exchange building, hasAddressDetail, Fuhua Road vicinity (approximate)]
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: Fuhua Road vicinity (approximate) Triple: [Shenzhen Stock Exchange building, hasAddressDetail, Fuhua Road vicinity (approximate)]
Generated description
Fuhua Road vicinity (approximate) refers to the central urban area around Fuhua Road in Shenzhen’s Futian District, known for its concentration of major financial and commercial landmarks.
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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603856d5081909db825186c4de49e |
completed | May 2, 2026, 2 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10ecc28bec8190bdaf306008b92e3c |
completed | May 22, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_6a10ed930a148190b794107b779bbdfd |
completed | May 22, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10efc6a0e48190a595a5025ad5c926 |
completed | May 23, 2026, 12:07 a.m. |
Created at: April 22, 2026, 8:23 a.m.