Triple
T10296823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chorzów |
E241511
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Rawa River |
E214136
|
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: Rawa River | Statement: [Chorzów, locatedOn, Rawa River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rawa River Context triple: [Chorzów, locatedOn, Rawa River]
-
A.
Rawa River
chosen
The Rawa River is a small urban waterway in southern Poland that flows through the industrial city of Katowice in the Silesian region.
-
B.
Kalang River
The Kalang River is a coastal river in New South Wales, Australia, that flows through the Bellingen region before meeting the Pacific Ocean near the town of Urunga.
-
C.
Banjar River
The Banjar River is a significant tributary in central India that feeds into the Narmada River system.
-
D.
Bornoi River
The Bornoi River is a regional river flowing through Assam in northeastern India, contributing to the local hydrology and agriculture of Darrang district.
-
E.
Moere River
Moere River is a river in Sapporo, Hokkaido, Japan, known for flowing near and lending its name to the renowned Moerenuma Park.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ebd258819099fadddcd13099fc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4415b7f848190a9fc8b08824f0b9b |
completed | April 19, 2026, 2:43 a.m. |
Created at: April 6, 2026, 11:43 a.m.