Triple
T11752270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Putuo |
E279435
|
entity |
| Predicate | ChineseName |
P744
|
FINISHED |
| Object | 普陀山 |
E428605
|
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: 普陀山 | Statement: [Mount Putuo, ChineseName, 普陀山]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 普陀山 Context triple: [Mount Putuo, ChineseName, 普陀山]
-
A.
象山
象山 is a popular hiking spot in Taipei, Taiwan, known for its short trail that offers panoramic views of the city skyline and Taipei 101.
-
B.
Putuo Mountain Scenic Area
chosen
Putuo Mountain Scenic Area is a renowned Buddhist sacred site and coastal mountain resort in China, famous for its temples, sea views, and pilgrimage culture.
-
C.
Gulangyu Island
Gulangyu Island is a pedestrian-only, historically rich island off the coast of Xiamen, China, famed for its colonial-era architecture, beaches, and strong musical heritage.
-
D.
上川岛
上川岛是位于中国广东省台山市西南部海域的一座海岛，以优美的海滩风光和渔乡风情著称的旅游胜地。
-
E.
武当山
武当山是位于中国湖北省的著名道教名山和世界文化遗产，以其古建筑群和武当武术而闻名。
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a509c2448190b0deb7ed29c3a73f |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a13550081909a26f57b30d68e03 |
completed | April 28, 2026, 2:23 a.m. |
Created at: April 8, 2026, 9:41 p.m.