Triple
T18154785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campo Imperatore |
E434600
|
entity |
| Predicate | hotelUsedFor |
P130660
|
FINISHED |
| Object | detention of Benito Mussolini in 1943 |
—
|
LITERAL 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: detention of Benito Mussolini in 1943 | Statement: [Campo Imperatore, hotelUsedFor, detention of Benito Mussolini in 1943]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hotelUsedFor Context triple: [Campo Imperatore, hotelUsedFor, detention of Benito Mussolini in 1943]
-
A.
hadStationHotel
Indicates that a railway station possessed or was associated with a hotel facility serving its passengers or operations.
-
B.
hotelConnection
Indicates a relationship where one entity is linked or associated with a hotel, such as being located in, connected to, or serviced by that hotel.
-
C.
hotelCategory
Indicates the classification or rating level assigned to a hotel (e.g., star rating or category tier).
-
D.
hotelName
Indicates the specific name assigned to a hotel in the relationship.
-
E.
hasAccommodation
Indicates that an entity provides, owns, or is associated with a place for someone to stay or live.
- F. None of above. chosen
Provenance (4 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de3b5b788190b011c4eb96a71ffd |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:30 a.m.