Triple

T34550340
Position Surface form Disambiguated ID Type / Status
Subject Victoria area of London E887042 entity
Predicate adjacentTo P224 FINISHED
Object Houses of Parliament area
The Houses of Parliament area is the historic political heart of the United Kingdom in central London, centered around the Palace of Westminster and Big Ben on the River Thames.
 E14557 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: Houses of Parliament area | Statement: [Victoria area of London, adjacentTo, Houses of Parliament area]
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: Houses of Parliament area
Triple: [Victoria area of London, adjacentTo, Houses of Parliament area]
Generated description
The Houses of Parliament area is the historic political heart of the United Kingdom in central London, centered around the Palace of Westminster and Big Ben on the River Thames.

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_69f349cff89081908f91e0b064f4833e completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f72024a3348190b5e21ba600e64bb4 completed May 3, 2026, 10:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3729f8bec481908e5a5868f3e8320e completed June 21, 2026, 12:02 a.m.
NEDg Description generation batch_6a372a47f6a88190af8922a3af8c5eba completed June 21, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a372acf6ce48190bec089a269da1194 completed June 21, 2026, 12:05 a.m.
Created at: May 1, 2026, 2:02 a.m.