Triple

T36151196
Position Surface form Disambiguated ID Type / Status
Subject Centre de recherches mathématiques E1045588 entity
Predicate publishes P80 FINISHED
Object CRM Proceedings and Lecture Notes
CRM Proceedings and Lecture Notes is a scholarly book series featuring advanced research and expository works in mathematics and related fields, produced under the auspices of the Centre de recherches mathématiques.
E2172193 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: CRM Proceedings and Lecture Notes | Statement: [Centre de recherches mathématiques, publishes, CRM Proceedings and Lecture Notes]
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: CRM Proceedings and Lecture Notes
Triple: [Centre de recherches mathématiques, publishes, CRM Proceedings and Lecture Notes]
Generated description
CRM Proceedings and Lecture Notes is a scholarly book series featuring advanced research and expository works in mathematics and related fields, produced under the auspices of the Centre de recherches mathématiques.

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_69f76e37ace88190a906b107d388f5d1 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b362f24c8190a325f0a12cc4c692 completed May 3, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a390d4c982881908adcf19c6a1a363f completed June 22, 2026, 10:24 a.m.
NEDg Description generation batch_6a390eaab52881909027bbc2cc2469ba completed June 22, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a390f6f1ec88190b2fe251699996657 completed June 22, 2026, 10:33 a.m.
Created at: May 3, 2026, 4:08 p.m.