Triple

T29228477
Position Surface form Disambiguated ID Type / Status
Subject Paris ring of boulevards E740998 entity
Predicate hasSection P35 FINISHED
Object Boulevard de la Bastille
Boulevard de la Bastille is a street in Paris located near the historic Place de la Bastille and the Bassin de l'Arsenal, forming part of the city's inner ring of boulevards.
E2294175 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: Boulevard de la Bastille | Statement: [Paris ring of boulevards, hasSection, Boulevard de la Bastille]
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: Boulevard de la Bastille
Triple: [Paris ring of boulevards, hasSection, Boulevard de la Bastille]
Generated description
Boulevard de la Bastille is a street in Paris located near the historic Place de la Bastille and the Bassin de l'Arsenal, forming part of the city's inner ring of boulevards.

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_69f07cbb12bc81908c1971d9de9a8d2a completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6645ba71c81908044ade6ab577018 completed May 2, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7bb02c4a248190b707fe45c5d8c7fd completed Aug. 11, 2026, 11:28 p.m.
NEDg Description generation batch_6a7bb0c1909c81909beb9f0ec3adf1df completed Aug. 11, 2026, 11:31 p.m.
NED2 Entity disambiguation (via description) batch_6a7bb14d8254819080bb5ed12a548064 completed Aug. 11, 2026, 11:33 p.m.
Created at: April 28, 2026, 12:17 p.m.