Triple
T20689951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athos |
E508521
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Holy Mountain |
—
|
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: Holy Mountain | Statement: [Athos, alsoKnownAs, Holy Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holy Mountain Context triple: [Athos, alsoKnownAs, Holy Mountain]
-
A.
Holy Mountain
chosen
Holy Mountain is the traditional name for Mount Athos, a monastic peninsula in northeastern Greece renowned as a major center of Eastern Orthodox monasticism and spirituality.
-
B.
The Mountain
The Mountain was a radical left-wing political faction during the French Revolution, known for its dominance in the National Convention and its role in the Reign of Terror.
-
C.
The Mountain
The Mountain is a song featured on the album "Electric Dirt" by Levon Helm.
-
D.
The Mountain
The Mountain is a famously steep, jump-inducing section of the Cadwell Park motor racing circuit in Lincolnshire, England.
-
E.
The Mountain
The Mountain is a monumental early 20th-century painting by French artist Balthus, renowned for its enigmatic composition and dreamlike depiction of figures in a rugged alpine landscape.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10cb5588190acb88f2c82fc593a |
completed | April 21, 2026, 12:13 a.m. |
Created at: April 16, 2026, 12:08 p.m.