Triple
T38325075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 北海公园 |
E1036760
|
entity |
| Predicate | 著名景观 |
P41742
|
FINISHED |
| Object |
小西天
小西天是位于北京北海公园内的一处以古典园林建筑和宗教文化氛围著称的历史景点。
|
E2264904
|
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: 小西天 | Statement: [北海公园, 著名景观, 小西天]
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: 小西天 Triple: [北海公园, 著名景观, 小西天]
Generated description
小西天是位于北京北海公园内的一处以古典园林建筑和宗教文化氛围著称的历史景点。
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_69f76e1c16fc8190bde982289dd5106b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcc68e20488190b853c31c19954bab |
completed | May 7, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a419e1e01648190a0559371e1cba414 |
completed | June 28, 2026, 10:20 p.m. |
| NEDg | Description generation | batch_6a419fddd3c08190828d6562aac2a1ee |
completed | June 28, 2026, 10:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41a05dbf248190adffdb8ecf42d5c6 |
completed | June 28, 2026, 10:29 p.m. |
Created at: May 3, 2026, 4:30 p.m.