Triple
T21770079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troodos Mountains |
E537399
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Machairas Monastery |
—
|
NE NERFINISHED |
How this triple was built (3 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: Machairas Monastery | Statement: [Troodos Mountains, contains, Machairas Monastery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machairas Monastery Context triple: [Troodos Mountains, contains, Machairas Monastery]
-
A.
Menri Monastery
Menri Monastery is the principal monastic center and spiritual seat of the Bön tradition, one of Tibet’s oldest religious schools.
-
B.
Elonas Monastery
Elonas Monastery is an Eastern Orthodox cliffside monastery in the Peloponnese region of Greece, renowned for its dramatic setting and religious significance.
-
C.
Arnota Monastery
Arnota Monastery is a historic Romanian Orthodox monastic complex in Vâlcea County, renowned for its 17th-century architecture and richly decorated interior.
-
D.
Garreg Mach Monastery
Garreg Mach Monastery is the central church-ruled military academy and hub location in Fire Emblem: Three Houses, serving as the main setting where the protagonist teaches and interacts with students from the game's three houses.
-
E.
Kennaquhair monastery
Kennaquhair monastery is the fictional Scottish abbey that serves as the primary setting and religious center in Sir Walter Scott’s novel "The Monastery."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Machairas Monastery Target entity description: Machairas Monastery is a historic Eastern Orthodox monastery in Cyprus, renowned for its medieval origins, Byzantine architecture, and venerated icon of the Virgin Mary.
-
A.
Menri Monastery
Menri Monastery is the principal monastic center and spiritual seat of the Bön tradition, one of Tibet’s oldest religious schools.
-
B.
Elonas Monastery
Elonas Monastery is an Eastern Orthodox cliffside monastery in the Peloponnese region of Greece, renowned for its dramatic setting and religious significance.
-
C.
Arnota Monastery
Arnota Monastery is a historic Romanian Orthodox monastic complex in Vâlcea County, renowned for its 17th-century architecture and richly decorated interior.
-
D.
Garreg Mach Monastery
Garreg Mach Monastery is the central church-ruled military academy and hub location in Fire Emblem: Three Houses, serving as the main setting where the protagonist teaches and interacts with students from the game's three houses.
-
E.
Kennaquhair monastery
Kennaquhair monastery is the fictional Scottish abbey that serves as the primary setting and religious center in Sir Walter Scott’s novel "The Monastery."
- F. None of above. chosen
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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ad76848190b2c7a05d091b7faf |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.