Triple

T26909538
Position Surface form Disambiguated ID Type / Status
Subject Highwood Mountains E677351 entity
Predicate contains P35 FINISHED
Object Baldy Mountain (Highwood Mountains)
Baldy Mountain is a prominent peak in the Highwood Mountains of central Montana, known for its forested slopes and expansive views over the surrounding plains and ranges.
E1752063 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: Baldy Mountain (Highwood Mountains) | Statement: [Highwood Mountains, contains, Baldy Mountain (Highwood Mountains)]
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: Baldy Mountain (Highwood Mountains)
Triple: [Highwood Mountains, contains, Baldy Mountain (Highwood Mountains)]
Generated description
Baldy Mountain is a prominent peak in the Highwood Mountains of central Montana, known for its forested slopes and expansive views over the surrounding plains and ranges.

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_69eee9bcef1c8190be88586bb902bb9b completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61fd9d3208190aa7d3d12cb4db479 completed May 2, 2026, 4:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a122990243c8190837736ede63ea664 completed May 23, 2026, 10:26 p.m.
NEDg Description generation batch_6a122ad103b08190b8eddc14442802f6 completed May 23, 2026, 10:31 p.m.
NED2 Entity disambiguation (via description) batch_6a122b453e888190a195e8247f682604 completed May 23, 2026, 10:33 p.m.
Created at: April 27, 2026, 6:01 a.m.