Triple

T24502039
Position Surface form Disambiguated ID Type / Status
Subject Las Vegas Paiute Golf Resort E617959 entity
Predicate hasCourse P6650 FINISHED
Object Sun Mountain Course
Sun Mountain Course is one of the championship golf courses at the Las Vegas Paiute Golf Resort, known for its desert landscape, mountain views, and resort-style play near Las Vegas, Nevada.
E1643067 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: Sun Mountain Course | Statement: [Las Vegas Paiute Golf Resort, hasCourse, Sun Mountain Course]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sun Mountain Course
Triple: [Las Vegas Paiute Golf Resort, hasCourse, Sun Mountain Course]
Generated description
Sun Mountain Course is one of the championship golf courses at the Las Vegas Paiute Golf Resort, known for its desert landscape, mountain views, and resort-style play near Las Vegas, Nevada.

Provenance (5 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_69e2d7f682108190a1a7ca5fd485ee8a completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f2a80277748190b34b174e9ec528eb completed April 30, 2026, 12:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff851804c8190b9883806e071a8dd completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ffb15320c8190b35a312538c8961d completed May 22, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffb703c588190bcb839d92fc75109 completed May 22, 2026, 6:45 a.m.
Created at: April 18, 2026, 2:23 a.m.