Triple
T10856727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Cardones National Park |
E256285
|
entity |
| Predicate | hasBiome |
P952
|
FINISHED |
| Object | Monte of Mountains and Sierras |
E422453
|
NE 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: Monte of Mountains and Sierras | Statement: [Los Cardones National Park, hasBiome, Monte of Mountains and Sierras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte of Mountains and Sierras Context triple: [Los Cardones National Park, hasBiome, Monte of Mountains and Sierras]
-
A.
Sierra
Sierra is a renowned video game company best known for its pioneering graphic adventure games and influential role in the early PC gaming industry.
-
B.
Sierra
Sierra is one of the official mascots of the Salt Lake City 2002 Winter Olympics, represented as a coyote symbolizing the American West and Olympic spirit.
-
C.
Sierra
Sierra is an off-price retail chain offering discounted brand-name and outdoor gear, operated as a sister brand to Marshalls under the TJX Companies portfolio.
-
D.
Sierra
chosen
Sierra is the Andean highland natural region of Peru, characterized by mountainous terrain, high plateaus, and a cool climate.
-
E.
Sierra
Sierra is one of the central "Actives" in the TV series *Dollhouse*, known for her complex backstory and evolving sense of identity amid the show's mind-wiping technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7513695ac8190b5812e977a422c37 |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344249f648190b541c7fad7a834f5 |
completed | April 18, 2026, 8:43 a.m. |
Created at: April 8, 2026, 9:20 p.m.