Triple
T13303493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qiqihar |
E316873
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Nen River |
E525805
|
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: Nen River | Statement: [Qiqihar, locatedOn, Nen River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nen River Context triple: [Qiqihar, locatedOn, Nen River]
-
A.
Nen River
chosen
The Nen River is a major river in northeastern China that flows through Heilongjiang and Inner Mongolia, playing a key role in regional agriculture, transportation, and ecology.
-
B.
Narus River
The Narus River is a seasonal watercourse in northeastern Uganda that sustains wildlife and vegetation within Kidepo Valley National Park’s otherwise arid landscape.
-
C.
Moruya River
Moruya River is a coastal river in New South Wales, Australia, that flows through the town of Moruya before reaching the Tasman Sea.
-
D.
Segama River
The Segama River is one of the longest and most significant rivers in the Malaysian state of Sabah, known for flowing through rich rainforest and wildlife habitats in eastern Borneo.
-
E.
Kanda River
The Kanda River is a historically significant urban river in Tokyo, Japan, flowing through several central wards and playing an important role in the city’s drainage and flood control systems.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a60eb08190bf0dc098ca7dc342 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd08698e0819084f3098d471e7dc9 |
completed | May 7, 2026, 5:48 p.m. |
Created at: April 9, 2026, 9:28 p.m.