Triple
T19289942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albino |
E482412
|
entity |
| Predicate | locatedInValley |
P40
|
FINISHED |
| Object | Val Seriana |
—
|
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: Val Seriana | Statement: [Albino, locatedInValley, Val Seriana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Seriana Context triple: [Albino, locatedInValley, Val Seriana]
-
A.
Val Seriana
chosen
Val Seriana is a valley in the Italian Alps of Lombardy, known for its scenic landscapes, mountain villages, and outdoor recreation opportunities.
-
B.
Saint Valeria
Saint Valeria is a Christian saint venerated as an early martyr, particularly honored in parts of France where churches and abbeys bear her name.
-
C.
Verona De Tessant
Verona De Tessant is a thoughtful, pregnant thirty-something woman who, alongside her partner Burt, travels across North America searching for the ideal place to raise their child in the film "Away We Go."
-
D.
Serein
Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
-
E.
Soresina
Soresina is a small town and municipality in the Lombardy region of northern Italy, known for its agricultural economy and dairy production.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc050a888190ac204d1e736200c5 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.