Triple
T22638154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerler ski resort |
E558737
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Aramón |
—
|
NE NERFINISHED |
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: Aramón | Statement: [Cerler ski resort, operator, Aramón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aramón Context triple: [Cerler ski resort, operator, Aramón]
-
A.
Aramón
chosen
Aramón is a major Spanish ski resort operator that manages several ski areas in the Aragonese Pyrenees.
-
B.
Aramm
Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
-
C.
Roisel
Roisel is a small commune in the Somme department of northern France, situated within the historical region of Picardy.
-
D.
Arman
Arman was a French-born American artist best known for his pioneering work in Nouveau Réalisme, particularly his accumulations and destructions of everyday objects as sculptural and conceptual art.
-
E.
Darré
Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700f9fac8190b82190a54be22413 |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:04 p.m.