Triple
T13951219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liyang |
E335527
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Tianmu Lake |
E1071508
|
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: Tianmu Lake | Statement: [Liyang, locatedNear, Tianmu Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tianmu Lake Context triple: [Liyang, locatedNear, Tianmu Lake]
-
A.
Tianmu Lake
chosen
Tianmu Lake is a scenic freshwater lake in Liyang, Jiangsu Province, China, renowned for its clear waters, tea culture, and popular eco-tourism attractions.
-
B.
Dianshan Lake
Dianshan Lake is a large freshwater lake in Shanghai, China, known as an important water source and popular recreational area.
-
C.
Qiandao Lake
Qiandao Lake is a large, man-made reservoir in eastern China famed for its thousands of forested islands, clear waters, and popular tourist and recreation areas.
-
D.
Yanhu Lake
Yanhu Lake is a scenic mountain lake nestled within China’s Yandang Mountains, known for its picturesque landscapes and tranquil natural setting.
-
E.
Fuxian Lake
Fuxian Lake is a deep, clear freshwater lake in Yunnan Province, China, renowned for its exceptional water quality and scenic natural surroundings.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e131c608190b4ffdbada24a3208 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc321c600819085052392de9b0b53 |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.