Triple
T2741216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pic du Midi de Bigorre |
E60752
|
entity |
| Predicate | winterActivity |
P19624
|
FINISHED |
| Object | accessible from ski resort La Mongie |
—
|
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: accessible from ski resort La Mongie | Statement: [Pic du Midi de Bigorre, winterActivity, accessible from ski resort La Mongie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winterActivity Context triple: [Pic du Midi de Bigorre, winterActivity, accessible from ski resort La Mongie]
-
A.
winterCharacteristic
Indicates a characteristic, feature, or quality that is specifically associated with or typical of winter.
-
B.
winterStatus
Indicates the condition, phase, or circumstances associated with the winter season for a given entity or context.
-
C.
hasPopularWinterSports
chosen
Indicates that a place or context is associated with winter sports that are widely practiced, enjoyed, or well-attended.
-
D.
wintersIn
Indicates that an entity spends the winter season in a particular place or region.
-
E.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb2f210881909126307cc92ebfef |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd829f1e88190aab1d54f87c69714 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.