Triple
T30977929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madonna di Campiglio |
E789279
|
entity |
| Predicate | hasChairLifts |
P5970
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Madonna di Campiglio, hasChairLifts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChairLifts Context triple: [Madonna di Campiglio, hasChairLifts, yes]
-
A.
hasSkiLifts
chosen
Indicates that one location or facility is equipped with ski lifts that provide transportation for skiers or visitors.
-
B.
hasNumberOfSkiLifts
Indicates the relationship that specifies how many ski lifts are associated with a given entity.
-
C.
hasSkiLiftType
Indicates the specific type or category of ski lift associated with an entity.
-
D.
hasSkiRunsFor
Indicates that something provides or includes ski runs that are suitable or intended for a particular user group or purpose.
-
E.
hasNightSkiing
Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
- F. None of above.
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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: April 29, 2026, 8:55 p.m.