Triple
T3642988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shikotsu-Toya National Park |
E77232
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mount Eniwa |
E208773
|
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: Mount Eniwa | Statement: [Shikotsu-Toya National Park, hasPart, Mount Eniwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Eniwa Context triple: [Shikotsu-Toya National Park, hasPart, Mount Eniwa]
-
A.
Mount Haruna
Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
-
B.
Mount Noro
Mount Noro is a scenic mountain in Kure, Japan, known for its panoramic views of the Seto Inland Sea and popular hiking and sightseeing opportunities.
-
C.
Mount Ayu-Dag
Mount Ayu-Dag is a prominent, dome-shaped coastal mountain on the southern Crimean coast, known for its distinctive silhouette and natural and historical significance.
-
D.
Mount Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
-
E.
Mount Moiwa
chosen
Mount Moiwa is a forested mountain on the outskirts of Sapporo, Japan, famous for its ropeway, ski area, and panoramic night views over the city.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35acf2c81908f60168e93b773b1 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556076b34819097b15b60a91b5164 |
completed | March 14, 2026, 12:35 p.m. |
Created at: March 8, 2026, 3:24 p.m.