Triple
T19687657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Purgatory |
E472753
|
entity |
| Predicate | appearsInWork |
P795
|
FINISHED |
| Object | Purgatorio |
—
|
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: Purgatorio | Statement: [Mount Purgatory, appearsInWork, Purgatorio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Purgatorio Context triple: [Mount Purgatory, appearsInWork, Purgatorio]
-
A.
Purgatorio
chosen
Purgatorio is the second canticle of Dante Alighieri’s Divine Comedy, depicting the poet’s ascent of Mount Purgatory as souls undergo purification on their way to Paradise.
-
B.
Paradiso
Paradiso is the third and final canticle of Dante Alighieri's Divine Comedy, depicting the poet's allegorical journey through the celestial spheres of Heaven toward the vision of God.
-
C.
Paradiso
Paradiso is a picturesque Swiss lakeside town in the canton of Ticino, known for its scenic setting on Lake Lugano and proximity to Monte San Salvatore.
-
D.
The Inferno
The Inferno is the passionate and raucous student section that supports the Arizona State Sun Devils football team at their home games.
-
E.
Inferno
"Inferno" is a critically acclaimed short horror film by visual effects artist and director Mike Hill, known for its atmospheric storytelling and striking, cinematic imagery.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420d39688190ad3a84dbffce4ffe |
completed | April 20, 2026, 3:11 p.m. |
Created at: April 10, 2026, 1:45 p.m.