Triple

T24212735
Position Surface form Disambiguated ID Type / Status
Subject Alpine Valley Music Theatre E600596 entity
Predicate partOf P40 FINISHED
Object Alpine Valley Resort area
The Alpine Valley Resort area is a recreational complex in Wisconsin known for its ski facilities, golf course, and large outdoor concert venue.
 E1623732 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: Alpine Valley Resort area | Statement: [Alpine Valley Music Theatre, partOf, Alpine Valley Resort area]
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: Alpine Valley Resort area
Triple: [Alpine Valley Music Theatre, partOf, Alpine Valley Resort area]
Generated description
The Alpine Valley Resort area is a recreational complex in Wisconsin known for its ski facilities, golf course, and large outdoor concert venue.

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_69e2953344c48190875730c7d52112a0 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f28204e288819081e8a6121e229df6 completed April 29, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd1de230819097f6d540b46efc75 completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fbe09c6e4819093b71509780fcec0 completed May 22, 2026, 2:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbed0cbc48190963e3764a8481cbf completed May 22, 2026, 2:26 a.m.
Created at: April 17, 2026, 11:56 p.m.