Triple
T16620019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Angles ski resort |
E403799
|
entity |
| Predicate | hasBlueRuns |
P123581
|
FINISHED |
| Object | intermediate slopes |
—
|
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: intermediate slopes | Statement: [Les Angles ski resort, hasBlueRuns, intermediate slopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBlueRuns Context triple: [Les Angles ski resort, hasBlueRuns, intermediate slopes]
-
A.
hasWaterColor
Indicates that an entity possesses or is characterized by a particular color of water.
-
B.
hasWaterActivity
Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
-
C.
hasSteelheadRun
Indicates that a location or waterway supports or experiences a migratory run of steelhead trout.
-
D.
hasRiverBeach
Indicates that a location includes or is characterized by a beach area along a river.
-
E.
hasBoatLine
Indicates that one entity operates, owns, or is associated with a particular boat service or boat route line.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754c934c8190a0a8ddd747681aa7 |
completed | April 18, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.