Triple
T16620020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Angles ski resort |
E403799
|
entity |
| Predicate | hasRedRuns |
P123582
|
FINISHED |
| Object | advanced 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: advanced slopes | Statement: [Les Angles ski resort, hasRedRuns, advanced slopes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRedRuns Context triple: [Les Angles ski resort, hasRedRuns, advanced slopes]
-
A.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
-
B.
hasWestEndRun
Indicates that a production or performance has been staged in London’s West End theatre district.
-
C.
hasRedCarpetEvent
Indicates that an entity hosts, organizes, or is associated with an event featuring a formal red-carpet arrival or ceremony.
-
D.
runsFrom
Indicates that one entity flees or escapes away from another entity.
-
E.
hasRangers
Indicates that an entity possesses, employs, or is associated with one or more rangers (such as guardians, wardens, or protective personnel).
- 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.