Triple
T13684769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gubeikou |
E328092
|
entity |
| Predicate | hasNearbyRiver |
P8567
|
FINISHED |
| Object | Chao River |
E1069423
|
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: Chao River | Statement: [Gubeikou, hasNearbyRiver, Chao River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chao River Context triple: [Gubeikou, hasNearbyRiver, Chao River]
-
A.
Chao River
chosen
The Chao River is a river in northern China that flows through Hebei and Beijing, contributing to regional water supply and agriculture.
-
B.
Hongshui River
The Hongshui River is a major river in southern China that forms part of the upper reaches of the Xi River system and plays a key role in regional hydropower and navigation.
-
C.
Lao River
The Lao River is a river in southern Italy that flows through the regions of Calabria and Basilicata before emptying into the Tyrrhenian Sea.
-
D.
Liujiang River
The Liujiang River is a major river in Guangxi, China, known for flowing through Liuzhou and its surrounding karst landscapes.
-
E.
Lei River
The Lei River is a significant river in southern China that flows through Hunan Province and serves as an important waterway within the Xiang River system.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66f8acc8190b2a82b722930b995 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac7c8bbc81908c7aa15c6892be34 |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 9, 2026, 9:53 p.m.