Triple
T11562782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahodand Lake |
E274183
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Usho |
E272887
|
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: Usho | Statement: [Mahodand Lake, hasNearbySettlement, Usho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Usho Context triple: [Mahodand Lake, hasNearbySettlement, Usho]
-
A.
Ushishiru
Ushishiru is the Japanese name for Ushishir, a volcanic island in Russia’s Kuril Islands chain known for its caldera and geothermal activity.
-
B.
Ushba
Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
-
C.
Ukiha
Ukiha is a small city in southwestern Japan known for its rural landscapes, fruit orchards, and traditional townscapes.
-
D.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
E.
Ushu
chosen
Ushu is a scenic mountainous village in Pakistan’s Swat Valley, known for its lush forests, rivers, and access to trekking and natural viewpoints.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd2016481909b33848af3d1d6c1 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a75e4c1c81909eac9ebaf66e9ab8 |
completed | April 22, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:37 p.m.