Triple

T28835799
Position Surface form Disambiguated ID Type / Status
Subject Far Cry 5 E728176 entity
Predicate settingLocation P40 FINISHED
Object Hope County, Montana
Hope County, Montana is a fictional rural American region featured as the primary open-world setting in the video game Far Cry 5, characterized by its forests, mountains, and extremist cult presence.
E2059621 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: Hope County, Montana | Statement: [Far Cry 5, settingLocation, Hope County, Montana]
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: Hope County, Montana
Triple: [Far Cry 5, settingLocation, Hope County, Montana]
Generated description
Hope County, Montana is a fictional rural American region featured as the primary open-world setting in the video game Far Cry 5, characterized by its forests, mountains, and extremist cult presence.

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_69f0319dc6088190bbfaa206d40ed74a completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f6596d86b4819092d7d7131ca42cf8 completed May 2, 2026, 8:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36117124f88190888c4f153dd136df completed June 20, 2026, 4:05 a.m.
NEDg Description generation batch_6a361347ca5081908e42385d827cbe7e completed June 20, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_6a3613abb39881908fba9de844482934 completed June 20, 2026, 4:14 a.m.
Created at: April 28, 2026, 6:39 a.m.