Triple
T21656080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almopia |
E534469
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object | Mount Voras |
—
|
NE NERFINISHED |
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 Voras | Statement: [Almopia, hasMountain, Mount Voras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Voras Context triple: [Almopia, hasMountain, Mount Voras]
-
A.
Mount Voras
chosen
Mount Voras is a prominent mountain on the border between Greece and North Macedonia, known for its ski resort and scenic alpine landscapes.
-
B.
Mount Vardousia
Mount Vardousia is a rugged, high-altitude mountain massif in central Greece known for its dramatic peaks and popular hiking and mountaineering routes.
-
C.
Mount Ziria
Mount Ziria is a prominent mountain in the Peloponnese region of Greece, known for its rugged landscapes, hiking trails, and mythological association with the god Hermes.
-
D.
Mount Oros
Mount Oros is the highest mountain on the Greek island of Aegina, known for its panoramic views and historical religious sites.
-
E.
Mount Taron
Mount Taron is the tallest mountain on New Ireland Island in Papua New Guinea, known for its rugged terrain and dense tropical rainforest.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59185b208190a2cf4b8f54a2c231 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:36 p.m.