Triple
T10383695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Alps |
E244705
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Houō |
E743105
|
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 Houō | Statement: [Southern Alps, contains, Mount Houō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Houō Context triple: [Southern Alps, contains, Mount Houō]
-
A.
Mount Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
-
B.
Mount Hōken
chosen
Mount Hōken is a prominent peak in Japan’s Central Alps, known for its rugged granite terrain, alpine scenery, and popular hiking and climbing routes.
-
C.
Mount Moumoukai
Mount Moumoukai is the tallest volcanic peak in New Zealand’s remote Kermadec Islands, rising prominently from the South Pacific Ocean.
-
D.
Mount Erice
Mount Erice is a prominent mountain in western Sicily, Italy, known for its medieval hilltop town of Erice and panoramic views over the surrounding coast and islands.
-
E.
Mount Otemanu
Mount Otemanu is a dramatic, jagged volcanic peak on the island of Bora Bora in French Polynesia, renowned as an iconic backdrop for the island’s lagoons and resorts.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a2aafc8190aa11d14852fa1599 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9337978e8819087d0566df9e5aabd |
completed | April 10, 2026, 5:29 p.m. |
Created at: April 6, 2026, 12:04 p.m.