Triple

T35511375
Position Surface form Disambiguated ID Type / Status
Subject Jehanna E1026292 entity
Predicate politicalAffiliation P352 FINISHED
Object Kingdom of High Rock
The Kingdom of High Rock is a human-dominated province in The Elder Scrolls universe, known for its feudal Breton society, knightly orders, and intricate political rivalries.
E2145564 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: Kingdom of High Rock | Statement: [Jehanna, politicalAffiliation, Kingdom of High Rock]
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: Kingdom of High Rock
Triple: [Jehanna, politicalAffiliation, Kingdom of High Rock]
Generated description
The Kingdom of High Rock is a human-dominated province in The Elder Scrolls universe, known for its feudal Breton society, knightly orders, and intricate political rivalries.

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_69f76dfd61208190b93ec6dc439cab41 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79773e1648190827ebf8be0248084 completed May 3, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3852e402148190bdb4664843e6ab27 completed June 21, 2026, 9:08 p.m.
NEDg Description generation batch_6a38545a48a881909970b888d152b021 completed June 21, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_6a3854ee0cc08190a542392edeedb715 completed June 21, 2026, 9:17 p.m.
Created at: May 3, 2026, 4:04 p.m.