Triple
T13077934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mountains of the Moon |
E329626
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mount Gessi |
E359640
|
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 Gessi | Statement: [Mountains of the Moon, contains, Mount Gessi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Gessi Context triple: [Mountains of the Moon, contains, Mount Gessi]
-
A.
Mount Gessi
chosen
Mount Gessi is one of the prominent high peaks in the Rwenzori Mountains range of East Africa, known for its rugged alpine terrain and glaciated landscape.
-
B.
Mount Egon
Mount Egon is an active stratovolcano located on the island of Flores in Indonesia, known for its periodic eruptions and geothermal activity.
-
C.
Mount Gazanasar
Mount Gazanasar is a notable summit within the Zangezur mountain range in the South Caucasus region.
-
D.
Mount Giona
Mount Giona is a prominent mountain massif in central Greece known for its rugged terrain and significant elevation among the country’s highest peaks.
-
E.
Mount Wilis
Mount Wilis is a solitary, inactive stratovolcano in East Java, Indonesia, known for its forested slopes and surrounding rural highland communities.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9811828448190ac6ddd3e9c221251 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a227d2c81908da0089d0e0387c6 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:01 p.m.