Triple

T35463611
Position Surface form Disambiguated ID Type / Status
Subject Monte Ne, Arkansas E1025003 entity
Predicate alsoKnownAs P39 FINISHED
Object Monte Ne
Monte Ne is a historic resort community and former planned town in Benton County, Arkansas, known for its early 20th-century resort built by William Hope "Coin" Harvey and its now-submerged ruins under Beaver Lake.
E2189667 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 Ne | Statement: [Monte Ne, Arkansas, alsoKnownAs, Monte Ne]
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: Monte Ne
Triple: [Monte Ne, Arkansas, alsoKnownAs, Monte Ne]
Generated description
Monte Ne is a historic resort community and former planned town in Benton County, Arkansas, known for its early 20th-century resort built by William Hope "Coin" Harvey and its now-submerged ruins under Beaver Lake.

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_69f76dfa20d0819089585dc2cf653aea completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7967340c48190b9f77a7c0a6b8420 completed May 3, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39e6bc2cd08190aef7e2e35316a8e0 completed June 23, 2026, 1:51 a.m.
NEDg Description generation batch_6a39eb96fa2081909dc4790068e70df1 completed June 23, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_6a39ef75b4108190a21eae0fd8d705e8 completed June 23, 2026, 2:29 a.m.
Created at: May 3, 2026, 4:04 p.m.