Triple
T11081468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Sai |
E262003
|
entity |
| Predicate | hasNearbyLake |
P17985
|
FINISHED |
| Object | Lake Shoji |
E265741
|
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: Lake Shoji | Statement: [Lake Sai, hasNearbyLake, Lake Shoji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Shoji Context triple: [Lake Sai, hasNearbyLake, Lake Shoji]
-
A.
Lake Shoji
chosen
Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
-
B.
Lake Shinji
Lake Shinji is a brackish lake in Shimane Prefecture, Japan, renowned for its scenic sunsets, hot spring resorts, and abundant clam and eel fisheries.
-
C.
Lake Haruna
Lake Haruna is a scenic crater lake in Gunma Prefecture, Japan, known for its tranquil waters, surrounding volcanic landscapes, and popularity as a recreational and tourist destination.
-
D.
Lake Nakaumi
Lake Nakaumi is a brackish coastal lake in western Japan, situated between Shimane and Tottori prefectures, known for its rich fisheries and scenic views near the city of Matsue.
-
E.
Lake Hachirogata
Lake Hachirogata is a coastal lagoon in Akita Prefecture, Japan, historically one of the country’s largest lakes before extensive land reclamation reduced its size.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799985650819089b2c0f35a212414 |
completed | April 9, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e462d34c0081908067d91c163c118c |
completed | April 19, 2026, 5:06 a.m. |
Created at: April 8, 2026, 9:27 p.m.