Triple
T5058817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monterosa Ski |
E113972
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Staffal |
E359117
|
NE FINISHED |
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: Staffal | Statement: [Monterosa Ski, hasVillage, Staffal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Staffal Context triple: [Monterosa Ski, hasVillage, Staffal]
-
A.
Staffa
Staffa is a small uninhabited Scottish island in the Inner Hebrides, famed for its striking hexagonal basalt columns and the sea cave known as Fingal’s Cave.
-
B.
Staffa
chosen
Staffa is a small alpine hamlet that forms part of the mountain village and ski resort area of Macugnaga in northern Italy.
-
C.
Steffl
Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
-
D.
Stange
Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
-
E.
Stod
Stod is a small town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74523434819092b8b15992073b5b |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea48fa2dc8190810eebc136d4859a |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.