Triple
T22264641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oiti |
E550316
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Vardousia |
—
|
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 Vardousia | Statement: [Oiti, near, Mount Vardousia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Vardousia Context triple: [Oiti, near, Mount Vardousia]
-
A.
Mount Vardousia
chosen
Mount Vardousia is a rugged, high-altitude mountain massif in central Greece known for its dramatic peaks and popular hiking and mountaineering routes.
-
B.
Mount Voras
Mount Voras is a prominent mountain on the border between Greece and North Macedonia, known for its ski resort and scenic alpine landscapes.
-
C.
Mount Terevaka
Mount Terevaka is the highest and youngest of the three main volcanoes forming Easter Island (Rapa Nui) in the southeastern Pacific Ocean.
-
D.
Mount Helez
Mount Helez is the highest peak in Israel’s Eilat Mountains, a rugged desert range in the southern Negev near the Red Sea.
-
E.
Mount Oros
Mount Oros is the highest mountain on the Greek island of Aegina, known for its panoramic views and historical religious sites.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141ba5c9481909e24067133918ae2 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.