Triple

T35859843
Position Surface form Disambiguated ID Type / Status
Subject Tayside Police E1036915 entity
Predicate motto P42 FINISHED
Object Semper Vigilo
Semper Vigilo is the Latin motto of the former Tayside Police force in Scotland, meaning "Always Vigilant."
E1353128 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: Semper Vigilo | Statement: [Tayside Police, motto, Semper Vigilo]
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: Semper Vigilo
Triple: [Tayside Police, motto, Semper Vigilo]
Generated description
Semper Vigilo is the Latin motto of the former Tayside Police force in Scotland, meaning "Always Vigilant."

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_69f76e1d279c8190843e5b64a0a12c3f completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a97496a88190be5743c8dfbd7e0a completed May 3, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a389c3510308190b8109f8e670e0642 completed June 22, 2026, 2:21 a.m.
NEDg Description generation batch_6a389cfaa1fc81908e382b4befed99f6 completed June 22, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a389d9dcbd88190b86408dcb14f8128 completed June 22, 2026, 2:27 a.m.
Created at: May 3, 2026, 4:06 p.m.