Triple
T1231468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grozny |
E26451
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Sunzha River |
E146725
|
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: Sunzha River | Statement: [Grozny, locatedOnRiver, Sunzha River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunzha River Context triple: [Grozny, locatedOnRiver, Sunzha River]
-
A.
Sunzha River
chosen
The Sunzha River is a significant waterway in the North Caucasus that flows through Chechnya and neighboring regions, serving as an important tributary of the Terek River.
-
B.
Xin’an River
The Xin’an River is a major river in eastern China known for its scenic landscapes and as an important tributary contributing to the Qiantang River system.
-
C.
Jialing River
The Jialing River is a significant river in southwestern China that flows through Sichuan and Chongqing, contributing heavily to the region’s water resources, transportation, and ecology.
-
D.
Luoqing River
The Luoqing River is a regional river in Guangxi, China, that flows through and helps shape the city of Liuzhou.
-
E.
Nanfei River
The Nanfei River is a key waterway flowing through the city of Hefei in Anhui Province, China, playing an important role in its urban landscape and drainage 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5a25348190a0665b6324c4d8f5 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7967a0fc8190822b70438f0b2c35 |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 1, 2026, 7:47 p.m.