Triple
T3393896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akihabara |
E71481
|
entity |
| Predicate | hasNearbyRiver |
P8567
|
FINISHED |
| Object | Kanda River |
E390064
|
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: Kanda River | Statement: [Akihabara, hasNearbyRiver, Kanda River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanda River Context triple: [Akihabara, hasNearbyRiver, Kanda River]
-
A.
Kanda River
chosen
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.
-
B.
Naka River
Naka River is a river in Japan known for lending its name to the Imperial Japanese Navy light cruiser Naka.
-
C.
Iori River
The Iori River is a river in the South Caucasus that flows through eastern Georgia and parts of Azerbaijan before joining the Kura (Mtkvari) River.
-
D.
Hiran River
The Hiran River is a significant river in central India that flows through Madhya Pradesh and Gujarat, supporting local ecosystems and communities before joining the Narmada River.
-
E.
Aruwimi River
The Aruwimi River is a significant river in the Democratic Republic of the Congo, known for flowing through dense equatorial rainforest and contributing substantially to the Congo River basin.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb853746c8190bfa1447e6ebbefb3 |
completed | March 8, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb60d49ba08190b954fedd4c7bef5f |
completed | March 19, 2026, 2:35 a.m. |
Created at: March 8, 2026, 3:14 p.m.